SlideShare a Scribd company logo
1 of 26
Download to read offline
A MIXED-METHOD STUDY OF USER BEHAVIOR AND USABILITY ON AN
ONLINE TRAVEL AGENCY
Bing Pan*, Ph.D.
Associate Professor and Head of Research, Office of Tourism Analysis
Department of Hospitality and Tourism Management
School of Business, College of Charleston, Charleston, SC 29424-001 USA
Telephone: 843.953.2025, Fax: 843.953.5697
E-mail: panb@cofc.edu
Lixuan Zhang, Ph.D.
Hull College of Business, Augusta State University, Augusta, GA 30904 USA
Tel: 706.737.1560, Fax: 706.667.4064
Email: lixuan.zhang@gmail.com
Kevin Smith
Department of Hospitality and Tourism Management
School of Business, College of Charleston, Charleston, SC 29424-001 USA
Telephone: 843.953.1996, Fax: 843.953.5697
E-mail: smithka1@cofc.edu
* Corresponding author
Acknowledgements
Special thanks go to Katy Freeman (University of South Carolina), Christina Lee, Hung
Vo, Elisabeth Stiley, Jennifer Repede (College of Charleston) for working on data collection,
data analysis, and drafting of the report; Brigid Ventura for copyediting; and Matthew Feusner at
UCSF for producing heat maps.
A MIXED-METHOD STUDY OF USER BEHAVIOR AND USABILITY ON AN
ONLINE TRAVEL AGENCY
ABSTRACT
Online Travel Agencies (OTAs) play a more and more important role in the tourism and
hospitality industry by contributing to a large volume of transactions and revenue. Many studies
have evaluated tourism websites through different research methods. Website usability in general
has improved dramatically but problems remain. Very few studies focus on the user behavior and
usability of a single OTA website. This research uses a mixed-methods approach, including eye
tracking methodology to study information search strategy and the usability problems of a major
OTA site with a pre-defined information search task. The results show that users' information
search is mostly utilitarian in nature; the complex interface and advertising messages either
confuse or were ignored by most users. The study calls for a simpler and more intuitive interface.
A MIXED-METHOD STUDY OF USER BEHAVIOR AND USABILITY ON AN
ONLINE TRAVEL AGENCY
1. INTRODUCTION
In the first decade of the 21st century, the Internet has become a travel planning tool as
well as a transaction medium for travelers. Approximately 90 million American travelers used
online travel sites to plan their leisure trips in 2009 (U.S. Travel Association, 2010). In addition,
about 52.3% of bookings for major brand hotels in 2010 came from online channels
(TravelClick, 2011). Online Travel Agencies (OTAs), such as Expedia, Travelocity, Priceline,
Orbitz, and Hotels.com, have become one major transaction channel for travelers due to
convenience and cost transparency (Park, Gretzel, & Sirakaya-Turk, 2007). In 2010,
approximately half of travelers from the U.S. were identified as shoppers on OTA sites (Godwin,
2011; PhoCusWright, 2011). Though the major OTAs are competitors, a glance at their websites
shows that they follow a similar interface. Each of the OTAs displays a list of hotels sorted by
price, recommendation, brand, or location. On the results page, each hotel option is accompanied
by one or more pictures, hotel rates, a brief introduction, and location information. However, not
much research has been conducted on testing the effectiveness of the OTA websites. Web
design, including navigation and layout, has a great influence on traffic and sales volume of any
commercial websites (Lohse & Spiller, 1998). For the OTAs, good web usability can create
smooth search and transaction experiences and convert more visitors into buyers.
Usability, or ease of use, is always one of the most important, if not most important
attributes of any website (Kim, Kim, & Han, 2007; Park, et al., 2007). However, the usability of
tourism websites remains a problem. Focusing on city tourism websites, researchers find that
usability challenges exist both in terms of content and design, such as poor navigability, lack of
useful content, and little cross-cultural consideration (Zhou & DeSantis, 2005). Poor usability on
tourism websites can lead to problems for users. As Pan et al. (2007) found out, Americans'
overseas trip planning to China on the Internet is a frustrating experience. Users encounter many
usability problems caused by poor website design and lack of mental model congruency.
Elements such as the ease of navigation, the degree of functionality, and accessibility can affect
usability (Park, et al., 2007). Even just the placement of page features like a booking calendar or
reservation confirmation can affect the user experience and their willingness to use a travel site
(Usabilla, 2011). As a result, good usability for tourism and travel websites, including OTAs, is
elusive to achieve. Up to now, virtually no published articles have addressed the main usability
issues of OTAs.
Usability problems occur when there is a discrepancy between users' mental model and
the system's information model (Pan & Fesenmaier, 2006). There is always interaction between
the online environment and user behavior, since users and decision makers are adaptive to their
information environment and can adopt different information search strategies under different
conditions (Payne, Bettman, & Johnson, 1993). In this study, we intend to investigate
information search strategy and the major usability problems of a leading OTA. Since most of
the major OTAs follow similar layout and structure, the results from this study will inform the
design for other OTAs. The paper is structured as follows. First, it gives a review of studies on
website evaluation and specifically the usability issues of travel and tourism websites; second,
the paper outlines the mixed-methods approach, including the eye tracking methodology and the
data analysis methods; then it discusses users’ navigation and visual attention patterns, decision
making strategies, and major usability problems, followed by conclusions and discussions.
2. LITERATURE REVIEW
This section reviews current literature on the travel information search strategies and
usability of websites, and specifically on the evaluation and usability issues in travel and tourism
websites. Usability refers to the degree of ease of use when the system and the user can
communicate with each other clearly and without misunderstanding (Benbunan-Fich, 2001).
Usability studies exist as a subset of overall website evaluation and are generally more available
through books and industrial reports than academic papers.
Travel Information Search Strategy
Viewed from an information processing perspective, decision makers will go through a
set of steps in making a decision, including need recognition, information search, alternative
evaluation, making decision, and post-purchase evaluation (Engel, Blackwell, & Miniard, 2001).
Decision makers are adaptive when facing complex tasks and a different number of alternatives
(Payne, et al., 1993). They will use various heuristics to simplify the task if the given alternatives
are too many, for example, eliminating those alternatives which cannot reach a certain threshold
on one aspect (Payne, 1976).
For travel decisions, the process is even more intensive and dynamic, given the many
sub-decisions to be made and the complex inter-connections between them (Jeng & Fesenmaier,
2002). Many situational and environmental factors, such as trip stages and the nature of the
travel product, will determine the type of information search (Vogt, 1993). Travelers'
information needs and wants are different depending on different trip stages, and the actual trip
experiences will influence travel information search and product purchase (Jun, Vogt, &
MacKay, 2007). Especially, the travelers not only search for functional information in order to
make a decision, they also look for fun, excitement, and novel information and enjoy the
information search process itself (Vogt & Fesenmaier, 1998). In the tourism research field,
information search strategies mainly refer to the combination of information sources used
(Snepenger, Meged, Snelling, & Worrall, 1990). Early studies before the Internet era identified
different information source usage in which travel agents played a central role (Snepenger,
Meged, Snelling, & Worrall, 1990). In terms of information search strategies, Fodness and
Murray (1999) explored travel information search strategies using clustering analysis and
distinguished seven search strategies: prepurchase mix, tourist bureau, personal experience,
ongoing, on-site, automobile club, and travel agency. These strategies can be arranged along
three dimensions: temporal (ongoing search versus prepurchase search), spatial (internal search
versus external search), and operational (contributory information source versus decisive source).
However, how travelers use different heuristics to process information in the terms of traditional
decision making process has not been investigated. The benefit of an OTA site is the huge
amount of information available, and the users are more likely to adopt cognitive cost-saving
strategies. Those strategies interact with the unique hypertext environment of OTAs which may
create new issues and challenges. The first goal of this study is to investigate the information
search and decision making strategies the visitors adopt when using an online OTA website.
Usability Studies on Websites
Many books, journal articles, and industry reports have addressed usability issues of
websites. By analyzing homepages of 50 websites, Nielsen and Tahir (2001) summarized the
usability guidelines for homepage designs in the book Homepage Usability: 50 Websites
Deconstructed. Among all the guidelines, Nielsen and Tahir (2001) recommend that the most
critical page elements should be visible “above the fold” – that is, the most information should
be in the first screen of content without scrolling. A more recent book by Nielsen and his
colleague reported that many usability problems have been alleviated by designers in recent
years, but several usability problems are still prevalent (Nielsen & Loranger, 2006). For
example, search and information architecture are main factors contributing to task completion
failure on e-commerce websites. Besides the work done by Nielsen and his colleagues, many
web design principles have been developed, largely based on professional experience (Keeker,
1997; Krug, 2005; Tidwell, 2011). Academic studies have been conducted using various
methodologies such as content analysis (Jones & DeGrow, 2011), protocol analysis (Benbunan-
Fich, 2001), surveys (Venkatesh & Ramesh, 2006), expert judgments (Tan, Tung, & Xu, 2009),
eye tracking methods (Ehmke & Wilson, 2007), and software agents (Palmer, 2002). These
studies find that slow download speed, crowded content, poor navigation, excessive graphics and
animations, and lack of information categorization often cause usability problems (Benbunan-
Fich, 2001; Palmer, 2002; Tan, Tung, & Xu, 2009). An examination of homepages of Fortune
500 companies indicates that many usability guidelines are not followed (Jones & DeGrow,
2011).
Researchers in the tourism field have studied web assessment extensively, in which
usability is a major part. Reviewing 25 tourism website evaluation studies, Hashim, Murphy and
Law (2007) developed a 5-dimension framework to assist with determining the quality of a hotel
website based off structured conceptualism techniques. Usability is one dimension, along with
information and process, value added, relationship, and trust. In a review of past studies, Law, Qi
et al. (2010) conclude that tourism website evaluation is still limited, echoing the findings of
Hashim, Murphy and Law (2007). They argue that while website evaluation research has grown
from primarily qualitative studies in its nascent stages with questionable generalizability to
studies involving rigorous quantitative methods, tourism researchers still do not have any defined
standards of what comprises “website evaluation”.
Although there are many tourism research studies on web assessment, studies focusing on
usability are still lacking. As one exception, a study examines the usability issues of 55 city
tourism websites (Zhou & DeSantis, 2005). The study finds that many city tourism websites do
not offer interactive maps, have insufficient local information such as weather and time, and do
not have sitemaps or A-to-Z index. Using mixed methods, which are comprised of process
tracing, think aloud protocol, and clickstream analysis, another study identifies a total of 117
usability problems and barriers when American college students planned a trip to China (Pan, Li,
Zhang, & Smith, 2007). Another study focusing on user experiences on 18 different hotel,
airline, and travel comparison websites revealed that users prefer travel websites that are clean
and easily navigable. However, many of the leading travel websites are cluttered with
promotional content and social media buttons, e.g., a Facebook ‘Like’ button, which detracts
from the overall user experience (Usabilla, 2011).
Recently, a new methodology has been used in usability studies. The use of eye tracking
technology has become more popular as the technology becomes more sophisticated and
affordable. Eye tracking methodology provides direct capture of eye movement in stimulus-
based settings (Rayner 1998). The use of eye tracking techniques in usability research is based
on the assumption that the eye movement can indicate where a person’s attention is being
directed to (Just & Carpenter, 1976). Eye movements are composed of fixations, which are
relative stable eye gazes lasting for about 200-300 milliseconds, and saccades, which are rapid
eye movements of 3-5 degrees of visual angel. Eye tracking equipment is able to collect data to
determine both fixations and saccades. A scan path can show the sequence of fixations, while a
heat map can show how long each part of a screen has been looked at and which area of visual
stimuli the subjects paid attention to (Ehmke & Wilson, 2007). These metrics can provide an
objective evaluation for detailed analysis of users' attention.
When evaluating users’ first impressions of a website, eye movement data can
supplement what users verbally reported about their interactions with a site. By dividing a
webpage into different areas, eye tracking data is able to reveal which areas of a website receive
the most attention and the order in which they are viewed (Russell, 2005). Researchers have
tried to correlate eye tracking patterns with specific usability problems. Comparing users’
performance measures against different eye movement metrics, Cowen et al. (2002) found only
total fixation duration and average fixation duration is significantly correlated with usability.
Longer scan path length and longer scan path duration is an indication of less efficient searching
(Goldberg & Kotval, 1999). Ehmke and Willson (2007) analyzed eye movement data on a
website from 19 users and proposed a correlation scheme by relating eye movement patterns
with usability problems. For example, a lot of fixations on single areas followed by longer
saccades indicate that users find the page too crowded and not easy to read. In general, eye
tracking indices can reveal detailed cognitive processes of users on a website, such as the areas
of attentions, difficulties, cognitive efforts, and usability problems.
Though OTAs are probably the biggest players in online tourism industry and usability
problems remain an issue for most websites, no study has specifically investigated the usability
problems of a single OTA site. Different from previous studies, this research attempts to
investigate information search strategies and the usability problems of one single OTA site from
an information search perspective. Focusing specifically on usability with specific decision
making tasks, the study adopted a mixed-methodology approach in order to understand detailed
information search process and usability problems (Backlund, SkÄnér, Montgomery, Bring, &
Strender, 2003). Since most OTAs follow similar interface and information architecture, the
results of this study could inform the practice of improving other OTAs' web usability.
3. Methodology
With a mixed-methodology approach, this study combined eye tracking methodology
with think aloud protocol, observations, and surveys. The researchers conducted the information
search and travel planning exercise in an eye tracking lab on a Southeast public university
campus. GazeTracker, a software that records the eye responses to still images, videos, and web
and software interfaces, was used to generate a sequential list of fixations for each subject on
each web page (Lankford, 2000). An aggregation of fixations generates heat maps showing the
areas on a page which attract the most attention (Bojko, 2009).
In addition to eye tracking, think aloud protocol was adopted. Subjects were asked to
verbalize his or her thoughts, opinions, or feelings while carrying out a task. Since language
mediates thoughts, one can decipher the cognitive process during decision-making through the
verbalization of the subjects (Ericsson & Simon, 1993). Camtasia Studio, a screen capturing
software, was used to capture the subjects' online activity along with their verbalization and
record it into a movie file (Cox, 2005). Further, pre- and post-experiment surveys asked about
the subjects’ demographic information and travel and Internet use experience.
The researchers selected one of the top four OTAs as the testing site. In total, 41 subjects
were recruited through an online classified email list in the same university. The majority of
subjects were faculty or staff members. They are relatively highly educated with online travel
planning experience and considered an appropriate sample for the purpose of this study. Subjects
voluntarily signed up for a 90 minute time slot. Testing took place in an eye tracking lab on the
university campus. Upon arrival, each participant was greeted and given a brief overview of the
goals and the procedure of the study. The individual was then instructed to read the consent
form and indicate their approval by providing his or her signature. The participant was then
asked to complete an online pre-survey that asked about his or her knowledge of existing travel
web sites, travel behavior and experience, and flight and hotel preferences. Following the pre-
survey, respondents began the two-part study. In the first part of the study, the subjects were
asked to pick a hotel room from four mockup web pages. The results will be reported in a
separate paper and this paper focuses on the second part of the study. In the second part, the
subjects were asked to plan a weekend trip to Orlando and Las Vegas for the respondent and his
or her significant other by finding their hotels and air tickets on the OTA’s web site. During the
experiment, one of the researchers sat behind the subjects to answer any possible questions. The
researchers did not instruct the participants on how to book their reservations; instead, they were
told to budget within their actual financial situation. After the completion of the study, they
completed an online post-survey. The post-survey probed to find out more about their awareness
of features on the OTA, suggestions for the OTA, and demographic information. Then the
participants were debriefed and allowed to ask any remaining questions about the experiment.
Lastly, they were thanked and compensated $30 USD for their participation in the study.
4. Data Analysis
Four types of analysis were conducted in this research. First, data from the survey were
analyzed in order to understand the participants’ demographic characteristics, travel experience,
Internet use experience, and experience with using the Internet as a travel planning and
transaction tool; second, from the captured video data, the researchers generated the subjects'
navigational paths (Pan & Fesenmaier, 2006). The paths indicate users' most and least common
paths on the website to reach their goals; third, heat maps were generated from the most
commonly viewed web pages to indicate users' main interests based on the eye tracking data;
fourth, the researchers viewed the movies with embedded eye movement data, then combined
with subjects’ verbal protocols, observational notes, and recorded online activity movies. The
researchers took note during the viewing and identified the usability problems the subjects
encountered during the process. Specifically, the researchers looked at the data and tried to
discover the critical incident where the usability problems happened (Koenemann-Belliveau,
Carroll, Rosson, & Singley, 1994; Pan, et al., 2007).
5. Results
Demographic Information
Pre-survey results indicated that all participants have used the Internet for at least six
years; the majority of the participants noted that they had used the Internet for ten or more years.
The majority also indicated that they use the Internet for at least three hours each day. Regarding
respondents’ traveling experience, most took 0-2 business trips and 1-3 pleasure trips in the last
12 months. About 83% of participants identify themselves as an experienced traveler, while
93% of participants identify themselves as an experienced Internet user. In general, the
participants were mostly young professionals in an educational institution; they are savvy
Internet users and travelers, who fall into the target market of the OTA. The majority of
participants indicated that they used the OTA to check hotel and airline information, but not to
secure rental car reservations for their travel. The post-survey indicated that 17 participants
reported having booked a flight and hotel as a package, while 25 participants reported having
never done so. Of the respondents who had booked the flight and hotel as package, the
perceived advantages appeared to be cost (12 of 17) and convenience (5 of 17).
Participants were asked to rate the OTA and three other major OTAs on several
attributes. The results show that all major OTAs have higher values on ease of use, positive past
experience, and brand familiarity, but they scored lower on best price, best reward program,
great customer service, and most trustworthy. When asked whether a subject would use the same
web site he or she used last time, the responses showed that the subjects have no problem
switching OTA sites given the right value, indicating low brand loyalty.
Navigation Patterns and Visual Attention Patterns
The most revealing results came in the form of a modified user route map as well as the
heat maps, both of which clearly outline the typical browsing and eye movement patterns of the
participants. The homepage of the OTA has distinct sections: the main section on the upper-left
side contains search boxes and main function of the website; the deal section on the upper-right
side presents "My Account" information along with deals, specials, and featured destinations; the
bottom deal section lists additional deals (Figure 1). First, researchers compiled the clickstreams
into a navigational graph (Figure 2) (Pan & Fesenmaier, 2006). The result shows that the
subjects have very distinct browsing patterns for the various page types: they always start with
homepage, type in search terms, go to search results page, and view details pages. The other tabs
were not interacted with nearly the same frequency as these pages. In fact, 91% of the
participants only interacted with the default search form on the home page. The package search
function was used much more frequently than individual hotel or air search. After being
presented with package results, respondents were more likely to go to package details and then
switch to flight information if needed.
------------------ Insert Figure 1 about here --------------------------
------------------ Insert Figure 2 about here --------------------------
In addition to navigation route maps, heat maps were generated utilizing the numbers of
eye fixations captured by the eyetracker. The most gazed-upon areas were depicted on the maps
below as red, yellow, green, and blue, according to highest to lowest fixation density in that
order (Figure 3). These maps indicate the locations of the subjects’ visual attention on those
pages. Across all the heat maps, it is important to note that items that lay within the outer
perimeters of the screen, those smaller options, advertisements, etc. were mostly not noticed.
For example, on the home page, 94% of the users did not interact with the graphics on the right
side of the screen located on the home page. From this and other recorded instances, we can
conclude that the users have a tendency to remain focused on exactly what they are looking for
without fully taking in the complete content of any given page. On the OTA’s website, the
subjects were mainly engaged in functional information search, e.g., finding out hotels and
airlines to book, as opposed to the multimedia content of the page.
-------------- Insert Figure 3 here -------------------------
Information Search Strategies
From the detailed eye movement data along with recorded videos, researchers also
studied and coded the behavioral patterns on all the pages. We found that users mainly utilize
three strategies in their information search process. First, price is the most critical factor in
determining users’ eye movement. The results indicated that users typically followed an initial
left-to-right, top-to-bottom visual pattern; however, they quickly sorted out the items bearing the
lowest price and remained focused on sorting out the details of the items with the lowest price.
Users tended to focus on a limited number of results most often in the lowest price bracket.
While a majority of users simply reviewed the list based on the default search results, the most
common alternative was choosing the ‘Lowest Price’ sorting option. When it comes to price,
users are incredibly focused on the best price and as a result, they become relentless in seeking
out the best bargain and filter out everything else in their field of vision. After they saw the
lowest price, they either go with the lowest price offered or give, slightly, to higher prices based
on other factors such as time of departure, number of stops, or photos (for hotel properties and
packages).
Second, despite the very clear importance of price, photos have a considerable influence
over user preference and buying behavior. Users were particularly engaged with available photos
of hotel properties. Users would often choose the hotel and look through the selection of images,
which seemingly influenced their interest in booking the property. Users would typically move
up slightly in price in order to identify a hotel that they are visually attracted to, as long as it was
not in the upper bracket of expensive properties. Users’ comments and general observations
alluded to the assumption that users are willing to pay more for an attractive hotel property
judged by its photos. Hotel aesthetics are very important to the user and the users often browsed
through the entire collection of photos for a given property. Interestingly, for hotels with poorly
shot photos, plain or ‘cookie-cutter’ appearance, and/or dated aesthetics, users would quickly
dismiss them to find a property with photos that had a more unique, professional, and modern
appearance. In Las Vegas, for instance, the orange glow of the volcano in front of a lit Mirage
against the night sky seemed to attract users’ attention.
Third, scanning is used mainly to process information. Users often scanned the text as
opposed to reading it in full. Scanning is one of the strategies users use to process information on
the Internet, more often than on the traditional prints (Astleitner & Leutner, 1995). Based on
personal criteria such as interest and personal importance, users are often engaged in selective
scanning (Eveland & Dunwoody, 2002). For example, in Figure 2, analysis on the Hotel detail
page indicated that 47% of participants used a combination of scanning and reading on text, 33%
only scanned, 13% scanned but mostly ignored the text, and finally, only 7% of users fully read
the text.
Main Usability Problems
Almost all subjects fulfilled their tasks successfully within the required time frame except
one. However, we also found two main usability problems of the OTA website. The OTA offers
complicated matrices on the package web page. The matrix has different hotels in rows and the
different airlines across the columns. Each cell lists the price for a different combination of a
specific hotel and airline (see Package page in Figure 3). The matrices were confusing to some
participants. Several respondents expressed their confusion and commented on the
overwhelming amount of information presented to them through matrices (see Figure 2). The
intensity of information on the matrix makes it difficult for users to effectively digest the
information to make a final booking decision. Furthermore, in order to judge the overall value of
the package, they want to know the individual prices for the hotel and the airline ticket if booked
separately; however, that information was not readily available on that page. It should be noted
that one subject noticed the difference in price on the matrix results page versus the price on the
package detail page after she clicked the link. She quickly abandoned her trip planning on the
OTA and mentioned that she would switch to a different OTA site right away. This indicated the
importance of information accuracy during even one booking session for purposes of retaining
the OTA’s customers.
Second, although the various functions and options of the web pages were understood
and reasonably well navigated by the users, the virtual tour function, however, was mostly
ignored or was abandoned due to technical difficulties when trying to operate this function.
Although virtual tours are provided on the assumption that they can help users form vivid and
clear destination images, thus making it easier for them to choose a destination (Cho &
Fesenmaier, 2000), the technology demands higher bandwidth and sometimes additional
software. In our study, multiple users encountered issues with the virtual tour component of the
individual hotel page or simply ignored it. This problem should be reevaluated because many
users do not have the necessary programs/speed on their computers to utilize this functionality
and the frustration that may result from this experience could be damaging to the site as a whole.
6. Conclusions and Discussion
From the results of the pre- and post-surveys, it was found that the majority of the
participants have heard of and used the OTA. An overall positive feeling towards the web site
was conveyed as most users found that the web site was easy to use and/or had a good
experience with the OTA. Many users, however, felt that the web site was just average in terms
of customer service, trustworthiness, and best price. Additionally, most subjects had lower brand
loyalty; they were very price sensitive and had no problem switching to other travel web sites if a
better price could be found.
In general, subjects' information search task was successful. Their behavior on the
OTA was completely functional and utilitarian in nature rather than hedonic searches (Vogt &
Fesenmaier, 1998; Vogt, Fesenmaier, & MacKay, 1993). This may reflect the nature of the
Internet: it offers vast amount of information in a hypertext environment which can help decision
makers to find their ideal choice. The amount of information and the nature of the task determine
the utilitarian use of the OTA site. In this study, the majority of the users let the criteria of price
guide their decision making choices. They usually evaluate the hotel, airline, or package choices
and pick one from the list very quickly. The options with low prices are viewed first. The ads,
marketing messages, and irrelevant information were largely ignored. Photos of the hotels also
influence users’ choices of the hotel. High quality photos can entice users to choose more
expensive prices. When making decisions, users usually scan the website rather than engage in
careful elaboration.
Two major usability problems are discovered on the website. First, the matrix listing
package options stood out as one of the major sources of confusion and frustration. The intensity
of the information provided in the matrix makes it difficult for users to quickly and effectively
digest. Second, the virtual tour function is rarely used by users. Virtual tours can increase the
spatial understandings of the hotels, but it usually requires additional software and demands
higher bandwidths. Viewed in combination with users' utilitarian searches, this demonstrated
that the OTA is overloaded with too much information and additional functionalities which
either confuse or frustrate the web visitors. This study calls for a simpler and more intuitive
interface. In other words, "Keep it Simple and Stupid" (the KISS principle) (Zerfass &
Hartmann, 2005).
7. Implications
Since the bulk of information and options on the pages seemed to remain the same from
the OTA home page to deep level individual web pages, most of the information and options are
ignored or just scanned by the users. Users tended to follow very similar patterns when
searching. They have become increasingly savvy in terms of navigation and filtering of
information. If important information is bypassed or ignored by the users, then the web site has
lost an opportunity to engage and persuade the user. A simple, clean beginning with streamline
aesthetics could intrigue and influence users in a positive manner and potentially prevent user
errors. For particular destinations, photos can be tailored to ‘enhance’ their specific appeal. This
is a method to create an ‘experience’ with a user at a very early stage in the decision-making
process, thereby significantly influencing their purchasing decisions. In an era of immense
competition, the aforementioned method is particularly effective. In general, the OTA may
benefit from employing a scaffolding technique to the web site. Scaffolding was defined as the
process by which assistance is provided to learners to tackle difficult problems by providing
strategic guidance, setting reasonable goals or performing parts of a task (Wood, Bruner, & Ross,
1976). Website designers should consider scaffolding for the tasks users perform and for the
interface with which users interact. The important information such as the prices of hotels,
airlines, and packages should be provided first to the users. More choices can be offered in
subsequent pages to encourage users to stay on the site longer and ultimately make a purchasing
decision through the site. When a structure is provided for a complex task such as choosing one
vacation package from an overwhelming choice set, information overload can be possibly
avoided.
8. Limitations of the Study
The first limitation of this study lies in its lab exercise nature. The subjects were planning
an imagined trip in the future, rather than one of their real trips. They did not need to finish the
final purchase, but rather searched for information and decided on the hotel and airline only. This
may lower the involvement level of the task and increase the artificiality of the study. Second,
though all the OTAs follow similar information architecture and interface layout, the subjects
had different brand images regarding different OTAs. Thus, they may present different search
and decision making strategies due to that. Readers should be cautious when generalizing the
results of this study to other OTAs.
REFERENCES
Astleitner, H., & Leutner, D. (1995). learning strategies for unstructured hypermedia: A framework for
theory, research and practice. Journal of Educational Computing Research, 13, 387-400.
Backlund, L., SkÄnér, Y., Montgomery, H., Bring, J., & Strender, L. (2003). Doctors' decision processes
in a drug-prescription task: The validity of rating scales and think-aloud reports. Organizational
Behavior and Human Decision Processes, 91(1), 108-117.
Benbunan-Fich, R. (2001). Using protocol analysis to evaluation the usability of a commerical web site.
Information & Management, 39(2), 151-163.
Bojko, A. (2009). Informative or Misleading? Heatmaps Deconstructed. Human-Computer Interaction.
New Trends, 30-39.
Cho, Y., & Fesenmaier, D. R. (2000). A conceptual framework for evaluating the effects of a virtual tour
(pp. 314-323). New York: Springer-Verlag.
Cowen, L., Ball, L. J., & Delin, J. (2002). An eye-movement analysis of web-page usability. In X.
Faulkner, J. Finlay, & F. DĂ©tienne (Eds.), People and Computers XVI - Memorable yet Invisible:
Proceedings of HCI 2002 (pp. 317-335). London: SpringerVerlag Ltd.
Cox, C. (2005). From Cameras to Camtasia. Internet Reference Services Quarterly, 9(3), 193-200.
Ehmke, C., & Wilson, S. (2007). Identifying web usability problems from eye-tracking data (pp. 119-
128).
Engel, J. F., Blackwell, R. D., & Miniard, P. W. (2001). Consumer Behavior, 8th. Chicago: Dryden.
Ericsson, K. A., & Simon, H. A. (1993). protocol analysis: Verbal reports as data. Cambridge, MA: The
MITPress.
Eveland, J. W. P., & Dunwoody, S. (2002). An investigation of elaboration and selective scanning as
mediators of learning from the web versus print. Journal of Broadcasting & Electronic Media,
46(1), 34-53.
Fodness, D., & Murray, B. (1999). A model of tourist information search behavior. Journal of Travel
Research, 37(2), 220-230.
Godwin, N. (2011). PhoCusWright: View of airlines worsens. Travel Weekly, C4-C7.
Goldberg, J. H., & Kotval, X. P. (1999). Computer interface evaluation using eye movements: methods
and constructs. International Journal of Industrial Ergonomics, 24(6), 631-645.
Hashim, N. H., Murphy, J., & Law, R. (2007). A review of hospitality website design frameworks.
Information and Communication Technologies in Tourism 2007, 219-230.
Jeng, J., & Fesenmaier, D. R. (2002). Conceptualizing the travel decision-making hierarchy: A review of
recent developments. Tourism Analysis, 7, 15-32.
Jones, S. L., & DeGrow, D. (2011). Fortune 500 homepages: Design trend. IEEE Transactions on
Professional Communication, 54(1), 18-30.
Jun, S. H., Vogt, C. A., & MacKay, K. J. (2007). Relationships between travel information search and
travel product purchase in pretrip contexts. Journal of Travel Research, 45(3), 266.
Just, M. A., & Carpenter, P. A. (1976). Eye fixations and cognitive processes. Cognitive _Psychology, 8,
441-480.
Keeker, K. (1997). Improving web-site usability and appeal: guidelines compiled by MSN usaility
research. Retrieved from
http://uwf.edu/ddawson/d3net/documents/web_usability/MS_Website_Usability.pdf
Kim, D. J., Kim, W. G., & Han, J. S. (2007). A perceptual mapping of online travel agencies and
preference attributes. Tourism Management, 28(2), 591-603.
Koenemann-Belliveau, J., Carroll, J. M., Rosson, M. B., & Singley, M. K. (1994). Comparative usability
evaluation: critical incidents and critical threads.
Krug, S. (2005). Don't Make Me Think: A Common Sense Approach to Web Usability, 2nd Edition:
Indianapolis, IN: New Riders Press.
Lankford, C. (2000). Gazetracker: software designed to facilitate eye movement analysis.
Law, R., Qi, S., & Buhalis, D. (2010). Progress in tourism management: a review of website evaluation in
tourism research, Tourism Management, 31(3), 297-313.
Lohse, G. L., & Spiller, P. (1998). Electronic shopping. Communications of the ACM, 41(7), 81-87.
Nielsen, J., & Loranger, H. (2006). Prioritizing Web Usability: Indianapolis, IN: New Riders Press.
Nielsen, J., & Tahir, M. (2001). Homepage Usability: 50 Websites Deconstructed: Indianapolis, IN: New
Riders Publishing.
Palmer, J. W. (2002). Web site usability, design, and performance metrics. Information Systems Research,
13(2), 151-167.
Pan, B., & Fesenmaier, D. R. (2006). Online Information Search: Vacation Planning Process. Annals of
Tourism Research, 33(3), 809-832.
Pan, B., Li, X., Zhang, L., & Smith, W. W. (2007). An exploratory study on the satisfaction and barriers
of online trip planning to China: American College students’ experience. Journal of Hospitality
and Leisure Marketing', 16(1-2), 203-226.
Park, Y., Gretzel, U., & Sirakaya-Turk, E. (2007). Measuring Web Site Quality for Online Travel
Agencies. Journal of Travel & Tourism Marketing, 23(1), 15-30.
Payne, J. W. (1976). Task complexity and contingent processing in decision making: An information
search and protocol analysis* 1. Organizational behavior and human performance, 16(2), 366-
387.
Payne, J. W., Bettman, J. R., & Johnson, E. J. (1993). The adaptive decision maker: Cambridge, UK:
Cambridge University Press.
PhoCusWright (2011). PhoCusWright's Consumer Travel Report Third Edition.
Rayner, K. (1998). Eye movements and information processing: 20 years of research. Psychological
Bulletin, 124 (3), 372-422.
Russell, M. (2005). Using eye-tracking data to understand first impressions of a website. Usability News,
7.
Snepenger, D., Meged, K., Snelling, M., & Worrall, K. (1990). Information search strategies by
destination-naive tourists. Journal of Travel Research, 29(1), 13-16.
Tan, F. B., Tung, L.-L., & Xu, Y. (2009). A study of web-designers' criteria for effecdtive business-to-
consumer (B2C) websites using the repertory grid technique. Journal of Electronic Commerce
Research, 19(3), 155-177.
Tidwell, J. (2011). Designing Interfaces: Sebastopol, CA: O'Reilly Media.
U.S. Travel Association (2010). Traveler's Use of the Internet, 2010: U.S. Travel Association.
Usabilla (2011). User experience in the travel sector.
Venkatesh, V., & Ramesh, V. (2006). Web and wireless site usability: understanding differences and
modeling use. MIS Quarterly, 30(1), 181-206.
Vogt, C. A. (1993). The role of touristic information in the pre-trip experience. University of Illinois at
Urbana-Champaign, Champaign, IL.
Vogt, C. A., & Fesenmaier, D. R. (1998). Expanding the functional information search model. Annals of
Tourism Research, 25(3), 551-578.
Vogt, C. A., Fesenmaier, D. R., & MacKay, K. (1993). Functional and aesthetic information needs
underlying the pleasure travel experience. Journal of Travel and Tourism Marketing, 2(2), 133-
146.
Wood, D., Bruner, J., & Ross, G. (1976). The role of tutoring in problem solving. Journal of Child
Psychology and Psychiatry and Allied Disciplines, 17, 89-100.
Zerfass, A., & Hartmann, B. (2005). The Usability Factor: Improving the Quality of E-Content. E-
Content, 165-182.
Zhou, Q., & DeSantis, R. (2005). Usability issues in city tourism website design: a content analysis (pp.
789-796).
FIGURES AND TABLES
Figure 1. Layout of the Homepage
Figure 2. Subjects' Navigation Patterns
Home page* Hotel detail page
Package page Detail package page
* Note: the white box is to cover the brand of the website due to confidentiality concerns.
Figure 3: Heat map of Major Pages of the OTA

More Related Content

Similar to A Mixed-Method Study Of User Behavior And Usability On An Online Travel Agency

Tm kim lehtomorrison2006
Tm kim lehtomorrison2006Tm kim lehtomorrison2006
Tm kim lehtomorrison2006A Morrison
 
Sustainability 12-07535 (1)
Sustainability 12-07535 (1)Sustainability 12-07535 (1)
Sustainability 12-07535 (1)saali5984
 
Rural tourism in india: Exploring the travel blogger perspective
Rural tourism in india: Exploring the travel blogger perspectiveRural tourism in india: Exploring the travel blogger perspective
Rural tourism in india: Exploring the travel blogger perspectiveRashmiranjan Choudhury
 
Rohan mahesh yadav lpu research on buying behavior of indian tourists toward...
Rohan mahesh yadav  lpu research on buying behavior of indian tourists toward...Rohan mahesh yadav  lpu research on buying behavior of indian tourists toward...
Rohan mahesh yadav lpu research on buying behavior of indian tourists toward...Rohan Mahesh Yadav
 
Impacts of online word-of-mouth and personalities on intention to choose a de...
Impacts of online word-of-mouth and personalities on intention to choose a de...Impacts of online word-of-mouth and personalities on intention to choose a de...
Impacts of online word-of-mouth and personalities on intention to choose a de...NghiĂȘn Cứu Định LÆ°á»Łng
 
PowerPoint presentation and a one page Word documentYou should .docx
PowerPoint presentation and a one page Word documentYou should .docxPowerPoint presentation and a one page Word documentYou should .docx
PowerPoint presentation and a one page Word documentYou should .docxstilliegeorgiana
 
The impact of social networking sites on the purchasing behaviours of online ...
The impact of social networking sites on the purchasing behaviours of online ...The impact of social networking sites on the purchasing behaviours of online ...
The impact of social networking sites on the purchasing behaviours of online ...Alexander Decker
 
Strategies Employed Article by Khurram Kayani
Strategies Employed Article by Khurram KayaniStrategies Employed Article by Khurram Kayani
Strategies Employed Article by Khurram KayaniK Kayani
 
Journal of Travel Research2017, Vol. 56(5) 563 –577© The A.docx
Journal of Travel Research2017, Vol. 56(5) 563 –577© The A.docxJournal of Travel Research2017, Vol. 56(5) 563 –577© The A.docx
Journal of Travel Research2017, Vol. 56(5) 563 –577© The A.docxcroysierkathey
 
final defence
final defencefinal defence
final defenceZidong Xing
 
Hybrid recommendation technique for automated personalized poi selection
Hybrid recommendation technique for automated personalized poi selectionHybrid recommendation technique for automated personalized poi selection
Hybrid recommendation technique for automated personalized poi selectionIAEME Publication
 
9922616_搳漜ćș­_PPT
9922616_搳漜ćș­_PPT9922616_搳漜ćș­_PPT
9922616_搳漜ćș­_PPTCatherine Wu
 
9922616 搳漜ćș­
9922616 搳漜ćș­ 9922616 搳漜ćș­
9922616 搳漜ćș­ Catherine Wu
 
Maede Kiani Sarkaleh, Mehregan Mahdavi and Mahsa Baniardalan
Maede Kiani Sarkaleh, Mehregan Mahdavi and Mahsa BaniardalanMaede Kiani Sarkaleh, Mehregan Mahdavi and Mahsa Baniardalan
Maede Kiani Sarkaleh, Mehregan Mahdavi and Mahsa BaniardalanIJMIT JOURNAL
 

Similar to A Mixed-Method Study Of User Behavior And Usability On An Online Travel Agency (20)

Tm kim lehtomorrison2006
Tm kim lehtomorrison2006Tm kim lehtomorrison2006
Tm kim lehtomorrison2006
 
Exploring the Influence of Online Travel Reviews on Tourist Decision making a...
Exploring the Influence of Online Travel Reviews on Tourist Decision making a...Exploring the Influence of Online Travel Reviews on Tourist Decision making a...
Exploring the Influence of Online Travel Reviews on Tourist Decision making a...
 
49622
4962249622
49622
 
The Search for Kenya: How Chinese-Speaking Generation Z Does its Online Trave...
The Search for Kenya: How Chinese-Speaking Generation Z Does its Online Trave...The Search for Kenya: How Chinese-Speaking Generation Z Does its Online Trave...
The Search for Kenya: How Chinese-Speaking Generation Z Does its Online Trave...
 
Sustainability 12-07535 (1)
Sustainability 12-07535 (1)Sustainability 12-07535 (1)
Sustainability 12-07535 (1)
 
Rural tourism in india: Exploring the travel blogger perspective
Rural tourism in india: Exploring the travel blogger perspectiveRural tourism in india: Exploring the travel blogger perspective
Rural tourism in india: Exploring the travel blogger perspective
 
Adaptive Strategies to Technological Change: Understanding Travellers Using ...
Adaptive Strategies to Technological Change: Understanding Travellers Using ...Adaptive Strategies to Technological Change: Understanding Travellers Using ...
Adaptive Strategies to Technological Change: Understanding Travellers Using ...
 
Rohan mahesh yadav lpu research on buying behavior of indian tourists toward...
Rohan mahesh yadav  lpu research on buying behavior of indian tourists toward...Rohan mahesh yadav  lpu research on buying behavior of indian tourists toward...
Rohan mahesh yadav lpu research on buying behavior of indian tourists toward...
 
Impacts of online word-of-mouth and personalities on intention to choose a de...
Impacts of online word-of-mouth and personalities on intention to choose a de...Impacts of online word-of-mouth and personalities on intention to choose a de...
Impacts of online word-of-mouth and personalities on intention to choose a de...
 
PowerPoint presentation and a one page Word documentYou should .docx
PowerPoint presentation and a one page Word documentYou should .docxPowerPoint presentation and a one page Word documentYou should .docx
PowerPoint presentation and a one page Word documentYou should .docx
 
The impact of social networking sites on the purchasing behaviours of online ...
The impact of social networking sites on the purchasing behaviours of online ...The impact of social networking sites on the purchasing behaviours of online ...
The impact of social networking sites on the purchasing behaviours of online ...
 
K Kayani
K KayaniK Kayani
K Kayani
 
Strategies Employed Article by Khurram Kayani
Strategies Employed Article by Khurram KayaniStrategies Employed Article by Khurram Kayani
Strategies Employed Article by Khurram Kayani
 
Journal of Travel Research2017, Vol. 56(5) 563 –577© The A.docx
Journal of Travel Research2017, Vol. 56(5) 563 –577© The A.docxJournal of Travel Research2017, Vol. 56(5) 563 –577© The A.docx
Journal of Travel Research2017, Vol. 56(5) 563 –577© The A.docx
 
Information safety corporate image and intention to use online
Information safety corporate image and intention to use onlineInformation safety corporate image and intention to use online
Information safety corporate image and intention to use online
 
final defence
final defencefinal defence
final defence
 
Hybrid recommendation technique for automated personalized poi selection
Hybrid recommendation technique for automated personalized poi selectionHybrid recommendation technique for automated personalized poi selection
Hybrid recommendation technique for automated personalized poi selection
 
9922616_搳漜ćș­_PPT
9922616_搳漜ćș­_PPT9922616_搳漜ćș­_PPT
9922616_搳漜ćș­_PPT
 
9922616 搳漜ćș­
9922616 搳漜ćș­ 9922616 搳漜ćș­
9922616 搳漜ćș­
 
Maede Kiani Sarkaleh, Mehregan Mahdavi and Mahsa Baniardalan
Maede Kiani Sarkaleh, Mehregan Mahdavi and Mahsa BaniardalanMaede Kiani Sarkaleh, Mehregan Mahdavi and Mahsa Baniardalan
Maede Kiani Sarkaleh, Mehregan Mahdavi and Mahsa Baniardalan
 

More from Aaron Anyaakuu

9Th Grade Expository Essay Topics
9Th Grade Expository Essay Topics9Th Grade Expository Essay Topics
9Th Grade Expository Essay TopicsAaron Anyaakuu
 
123 Custom Essay
123 Custom Essay123 Custom Essay
123 Custom EssayAaron Anyaakuu
 
5 Paragraph Essay Outline For 5Th Grade
5 Paragraph Essay Outline For 5Th Grade5 Paragraph Essay Outline For 5Th Grade
5 Paragraph Essay Outline For 5Th GradeAaron Anyaakuu
 
70S Fashion Essay
70S Fashion Essay70S Fashion Essay
70S Fashion EssayAaron Anyaakuu
 
8Th Grade Persuasive Essay Examples
8Th Grade Persuasive Essay Examples8Th Grade Persuasive Essay Examples
8Th Grade Persuasive Essay ExamplesAaron Anyaakuu
 
6 Paragraph Essay Example
6 Paragraph Essay Example6 Paragraph Essay Example
6 Paragraph Essay ExampleAaron Anyaakuu
 
500-700 Word Essay Example
500-700 Word Essay Example500-700 Word Essay Example
500-700 Word Essay ExampleAaron Anyaakuu
 
5Th Grade Opinion Essay Example
5Th Grade Opinion Essay Example5Th Grade Opinion Essay Example
5Th Grade Opinion Essay ExampleAaron Anyaakuu
 
5 Paragraph Essay Writing Frame
5 Paragraph Essay Writing Frame5 Paragraph Essay Writing Frame
5 Paragraph Essay Writing FrameAaron Anyaakuu
 
5 Paragraph Essay
5 Paragraph Essay5 Paragraph Essay
5 Paragraph EssayAaron Anyaakuu
 
26 January Republic Day Essay In Urdu
26 January Republic Day Essay In Urdu26 January Republic Day Essay In Urdu
26 January Republic Day Essay In UrduAaron Anyaakuu
 
11 Essays On Whales And Man
11 Essays On Whales And Man11 Essays On Whales And Man
11 Essays On Whales And ManAaron Anyaakuu
 
250 Word Essay On My Life Experience
250 Word Essay On My Life Experience250 Word Essay On My Life Experience
250 Word Essay On My Life ExperienceAaron Anyaakuu
 
5 Paragraph Definition Essay Example
5 Paragraph Definition Essay Example5 Paragraph Definition Essay Example
5 Paragraph Definition Essay ExampleAaron Anyaakuu
 
2 Types Of Essay Test
2 Types Of Essay Test2 Types Of Essay Test
2 Types Of Essay TestAaron Anyaakuu
 
50 Excellent Extended Essays Lord Of The Rings
50 Excellent Extended Essays Lord Of The Rings50 Excellent Extended Essays Lord Of The Rings
50 Excellent Extended Essays Lord Of The RingsAaron Anyaakuu
 
1St May Labour Day Essay In English
1St May Labour Day Essay In English1St May Labour Day Essay In English
1St May Labour Day Essay In EnglishAaron Anyaakuu
 
500 Word Essay Equals How Many Pages
500 Word Essay Equals How Many Pages500 Word Essay Equals How Many Pages
500 Word Essay Equals How Many PagesAaron Anyaakuu
 

More from Aaron Anyaakuu (20)

9Th Grade Expository Essay Topics
9Th Grade Expository Essay Topics9Th Grade Expository Essay Topics
9Th Grade Expository Essay Topics
 
123 Custom Essay
123 Custom Essay123 Custom Essay
123 Custom Essay
 
5 Paragraph Essay Outline For 5Th Grade
5 Paragraph Essay Outline For 5Th Grade5 Paragraph Essay Outline For 5Th Grade
5 Paragraph Essay Outline For 5Th Grade
 
451 Essay
451 Essay451 Essay
451 Essay
 
70S Fashion Essay
70S Fashion Essay70S Fashion Essay
70S Fashion Essay
 
8Th Grade Persuasive Essay Examples
8Th Grade Persuasive Essay Examples8Th Grade Persuasive Essay Examples
8Th Grade Persuasive Essay Examples
 
6 Paragraph Essay Example
6 Paragraph Essay Example6 Paragraph Essay Example
6 Paragraph Essay Example
 
500-700 Word Essay Example
500-700 Word Essay Example500-700 Word Essay Example
500-700 Word Essay Example
 
5Th Grade Opinion Essay Example
5Th Grade Opinion Essay Example5Th Grade Opinion Essay Example
5Th Grade Opinion Essay Example
 
5 Paragraph Essay Writing Frame
5 Paragraph Essay Writing Frame5 Paragraph Essay Writing Frame
5 Paragraph Essay Writing Frame
 
5 Paragraph Essay
5 Paragraph Essay5 Paragraph Essay
5 Paragraph Essay
 
26 January Republic Day Essay In Urdu
26 January Republic Day Essay In Urdu26 January Republic Day Essay In Urdu
26 January Republic Day Essay In Urdu
 
11 Essays On Whales And Man
11 Essays On Whales And Man11 Essays On Whales And Man
11 Essays On Whales And Man
 
250 Word Essay On My Life Experience
250 Word Essay On My Life Experience250 Word Essay On My Life Experience
250 Word Essay On My Life Experience
 
18 Essay Hacks
18 Essay Hacks18 Essay Hacks
18 Essay Hacks
 
5 Paragraph Definition Essay Example
5 Paragraph Definition Essay Example5 Paragraph Definition Essay Example
5 Paragraph Definition Essay Example
 
2 Types Of Essay Test
2 Types Of Essay Test2 Types Of Essay Test
2 Types Of Essay Test
 
50 Excellent Extended Essays Lord Of The Rings
50 Excellent Extended Essays Lord Of The Rings50 Excellent Extended Essays Lord Of The Rings
50 Excellent Extended Essays Lord Of The Rings
 
1St May Labour Day Essay In English
1St May Labour Day Essay In English1St May Labour Day Essay In English
1St May Labour Day Essay In English
 
500 Word Essay Equals How Many Pages
500 Word Essay Equals How Many Pages500 Word Essay Equals How Many Pages
500 Word Essay Equals How Many Pages
 

Recently uploaded

ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...JhezDiaz1
 
Pharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdfPharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdfMahmoud M. Sallam
 
Blooming Together_ Growing a Community Garden Worksheet.docx
Blooming Together_ Growing a Community Garden Worksheet.docxBlooming Together_ Growing a Community Garden Worksheet.docx
Blooming Together_ Growing a Community Garden Worksheet.docxUnboundStockton
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxpboyjonauth
 
Capitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptxCapitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptxCapitolTechU
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxmanuelaromero2013
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTiammrhaywood
 
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdfLike-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdfMr Bounab Samir
 
Earth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatEarth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatYousafMalik24
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxiammrhaywood
 
Historical philosophical, theoretical, and legal foundations of special and i...
Historical philosophical, theoretical, and legal foundations of special and i...Historical philosophical, theoretical, and legal foundations of special and i...
Historical philosophical, theoretical, and legal foundations of special and i...jaredbarbolino94
 
Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Jisc
 
Full Stack Web Development Course for Beginners
Full Stack Web Development Course  for BeginnersFull Stack Web Development Course  for Beginners
Full Stack Web Development Course for BeginnersSabitha Banu
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...Marc Dusseiller Dusjagr
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxOH TEIK BIN
 
DATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginnersDATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginnersSabitha Banu
 
ESSENTIAL of (CS/IT/IS) class 06 (database)
ESSENTIAL of (CS/IT/IS) class 06 (database)ESSENTIAL of (CS/IT/IS) class 06 (database)
ESSENTIAL of (CS/IT/IS) class 06 (database)Dr. Mazin Mohamed alkathiri
 
Alper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentAlper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentInMediaRes1
 

Recently uploaded (20)

TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdfTataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
 
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
 
Pharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdfPharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdf
 
Blooming Together_ Growing a Community Garden Worksheet.docx
Blooming Together_ Growing a Community Garden Worksheet.docxBlooming Together_ Growing a Community Garden Worksheet.docx
Blooming Together_ Growing a Community Garden Worksheet.docx
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptx
 
Capitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptxCapitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptx
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptx
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
 
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdfLike-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
 
Earth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatEarth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice great
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
 
Historical philosophical, theoretical, and legal foundations of special and i...
Historical philosophical, theoretical, and legal foundations of special and i...Historical philosophical, theoretical, and legal foundations of special and i...
Historical philosophical, theoretical, and legal foundations of special and i...
 
Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...
 
Full Stack Web Development Course for Beginners
Full Stack Web Development Course  for BeginnersFull Stack Web Development Course  for Beginners
Full Stack Web Development Course for Beginners
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptx
 
DATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginnersDATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginners
 
ESSENTIAL of (CS/IT/IS) class 06 (database)
ESSENTIAL of (CS/IT/IS) class 06 (database)ESSENTIAL of (CS/IT/IS) class 06 (database)
ESSENTIAL of (CS/IT/IS) class 06 (database)
 
OS-operating systems- ch04 (Threads) ...
OS-operating systems- ch04 (Threads) ...OS-operating systems- ch04 (Threads) ...
OS-operating systems- ch04 (Threads) ...
 
Alper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentAlper Gobel In Media Res Media Component
Alper Gobel In Media Res Media Component
 

A Mixed-Method Study Of User Behavior And Usability On An Online Travel Agency

  • 1. A MIXED-METHOD STUDY OF USER BEHAVIOR AND USABILITY ON AN ONLINE TRAVEL AGENCY Bing Pan*, Ph.D. Associate Professor and Head of Research, Office of Tourism Analysis Department of Hospitality and Tourism Management School of Business, College of Charleston, Charleston, SC 29424-001 USA Telephone: 843.953.2025, Fax: 843.953.5697 E-mail: panb@cofc.edu Lixuan Zhang, Ph.D. Hull College of Business, Augusta State University, Augusta, GA 30904 USA Tel: 706.737.1560, Fax: 706.667.4064 Email: lixuan.zhang@gmail.com Kevin Smith Department of Hospitality and Tourism Management School of Business, College of Charleston, Charleston, SC 29424-001 USA Telephone: 843.953.1996, Fax: 843.953.5697 E-mail: smithka1@cofc.edu * Corresponding author Acknowledgements Special thanks go to Katy Freeman (University of South Carolina), Christina Lee, Hung Vo, Elisabeth Stiley, Jennifer Repede (College of Charleston) for working on data collection, data analysis, and drafting of the report; Brigid Ventura for copyediting; and Matthew Feusner at UCSF for producing heat maps.
  • 2. A MIXED-METHOD STUDY OF USER BEHAVIOR AND USABILITY ON AN ONLINE TRAVEL AGENCY ABSTRACT Online Travel Agencies (OTAs) play a more and more important role in the tourism and hospitality industry by contributing to a large volume of transactions and revenue. Many studies have evaluated tourism websites through different research methods. Website usability in general has improved dramatically but problems remain. Very few studies focus on the user behavior and usability of a single OTA website. This research uses a mixed-methods approach, including eye tracking methodology to study information search strategy and the usability problems of a major OTA site with a pre-defined information search task. The results show that users' information search is mostly utilitarian in nature; the complex interface and advertising messages either confuse or were ignored by most users. The study calls for a simpler and more intuitive interface.
  • 3. A MIXED-METHOD STUDY OF USER BEHAVIOR AND USABILITY ON AN ONLINE TRAVEL AGENCY 1. INTRODUCTION In the first decade of the 21st century, the Internet has become a travel planning tool as well as a transaction medium for travelers. Approximately 90 million American travelers used online travel sites to plan their leisure trips in 2009 (U.S. Travel Association, 2010). In addition, about 52.3% of bookings for major brand hotels in 2010 came from online channels (TravelClick, 2011). Online Travel Agencies (OTAs), such as Expedia, Travelocity, Priceline, Orbitz, and Hotels.com, have become one major transaction channel for travelers due to convenience and cost transparency (Park, Gretzel, & Sirakaya-Turk, 2007). In 2010, approximately half of travelers from the U.S. were identified as shoppers on OTA sites (Godwin, 2011; PhoCusWright, 2011). Though the major OTAs are competitors, a glance at their websites shows that they follow a similar interface. Each of the OTAs displays a list of hotels sorted by price, recommendation, brand, or location. On the results page, each hotel option is accompanied by one or more pictures, hotel rates, a brief introduction, and location information. However, not much research has been conducted on testing the effectiveness of the OTA websites. Web design, including navigation and layout, has a great influence on traffic and sales volume of any commercial websites (Lohse & Spiller, 1998). For the OTAs, good web usability can create smooth search and transaction experiences and convert more visitors into buyers. Usability, or ease of use, is always one of the most important, if not most important attributes of any website (Kim, Kim, & Han, 2007; Park, et al., 2007). However, the usability of
  • 4. tourism websites remains a problem. Focusing on city tourism websites, researchers find that usability challenges exist both in terms of content and design, such as poor navigability, lack of useful content, and little cross-cultural consideration (Zhou & DeSantis, 2005). Poor usability on tourism websites can lead to problems for users. As Pan et al. (2007) found out, Americans' overseas trip planning to China on the Internet is a frustrating experience. Users encounter many usability problems caused by poor website design and lack of mental model congruency. Elements such as the ease of navigation, the degree of functionality, and accessibility can affect usability (Park, et al., 2007). Even just the placement of page features like a booking calendar or reservation confirmation can affect the user experience and their willingness to use a travel site (Usabilla, 2011). As a result, good usability for tourism and travel websites, including OTAs, is elusive to achieve. Up to now, virtually no published articles have addressed the main usability issues of OTAs. Usability problems occur when there is a discrepancy between users' mental model and the system's information model (Pan & Fesenmaier, 2006). There is always interaction between the online environment and user behavior, since users and decision makers are adaptive to their information environment and can adopt different information search strategies under different conditions (Payne, Bettman, & Johnson, 1993). In this study, we intend to investigate information search strategy and the major usability problems of a leading OTA. Since most of the major OTAs follow similar layout and structure, the results from this study will inform the design for other OTAs. The paper is structured as follows. First, it gives a review of studies on website evaluation and specifically the usability issues of travel and tourism websites; second, the paper outlines the mixed-methods approach, including the eye tracking methodology and the
  • 5. data analysis methods; then it discusses users’ navigation and visual attention patterns, decision making strategies, and major usability problems, followed by conclusions and discussions. 2. LITERATURE REVIEW This section reviews current literature on the travel information search strategies and usability of websites, and specifically on the evaluation and usability issues in travel and tourism websites. Usability refers to the degree of ease of use when the system and the user can communicate with each other clearly and without misunderstanding (Benbunan-Fich, 2001). Usability studies exist as a subset of overall website evaluation and are generally more available through books and industrial reports than academic papers. Travel Information Search Strategy Viewed from an information processing perspective, decision makers will go through a set of steps in making a decision, including need recognition, information search, alternative evaluation, making decision, and post-purchase evaluation (Engel, Blackwell, & Miniard, 2001). Decision makers are adaptive when facing complex tasks and a different number of alternatives (Payne, et al., 1993). They will use various heuristics to simplify the task if the given alternatives are too many, for example, eliminating those alternatives which cannot reach a certain threshold on one aspect (Payne, 1976). For travel decisions, the process is even more intensive and dynamic, given the many sub-decisions to be made and the complex inter-connections between them (Jeng & Fesenmaier, 2002). Many situational and environmental factors, such as trip stages and the nature of the travel product, will determine the type of information search (Vogt, 1993). Travelers' information needs and wants are different depending on different trip stages, and the actual trip experiences will influence travel information search and product purchase (Jun, Vogt, &
  • 6. MacKay, 2007). Especially, the travelers not only search for functional information in order to make a decision, they also look for fun, excitement, and novel information and enjoy the information search process itself (Vogt & Fesenmaier, 1998). In the tourism research field, information search strategies mainly refer to the combination of information sources used (Snepenger, Meged, Snelling, & Worrall, 1990). Early studies before the Internet era identified different information source usage in which travel agents played a central role (Snepenger, Meged, Snelling, & Worrall, 1990). In terms of information search strategies, Fodness and Murray (1999) explored travel information search strategies using clustering analysis and distinguished seven search strategies: prepurchase mix, tourist bureau, personal experience, ongoing, on-site, automobile club, and travel agency. These strategies can be arranged along three dimensions: temporal (ongoing search versus prepurchase search), spatial (internal search versus external search), and operational (contributory information source versus decisive source). However, how travelers use different heuristics to process information in the terms of traditional decision making process has not been investigated. The benefit of an OTA site is the huge amount of information available, and the users are more likely to adopt cognitive cost-saving strategies. Those strategies interact with the unique hypertext environment of OTAs which may create new issues and challenges. The first goal of this study is to investigate the information search and decision making strategies the visitors adopt when using an online OTA website. Usability Studies on Websites Many books, journal articles, and industry reports have addressed usability issues of websites. By analyzing homepages of 50 websites, Nielsen and Tahir (2001) summarized the usability guidelines for homepage designs in the book Homepage Usability: 50 Websites
  • 7. Deconstructed. Among all the guidelines, Nielsen and Tahir (2001) recommend that the most critical page elements should be visible “above the fold” – that is, the most information should be in the first screen of content without scrolling. A more recent book by Nielsen and his colleague reported that many usability problems have been alleviated by designers in recent years, but several usability problems are still prevalent (Nielsen & Loranger, 2006). For example, search and information architecture are main factors contributing to task completion failure on e-commerce websites. Besides the work done by Nielsen and his colleagues, many web design principles have been developed, largely based on professional experience (Keeker, 1997; Krug, 2005; Tidwell, 2011). Academic studies have been conducted using various methodologies such as content analysis (Jones & DeGrow, 2011), protocol analysis (Benbunan- Fich, 2001), surveys (Venkatesh & Ramesh, 2006), expert judgments (Tan, Tung, & Xu, 2009), eye tracking methods (Ehmke & Wilson, 2007), and software agents (Palmer, 2002). These studies find that slow download speed, crowded content, poor navigation, excessive graphics and animations, and lack of information categorization often cause usability problems (Benbunan- Fich, 2001; Palmer, 2002; Tan, Tung, & Xu, 2009). An examination of homepages of Fortune 500 companies indicates that many usability guidelines are not followed (Jones & DeGrow, 2011). Researchers in the tourism field have studied web assessment extensively, in which usability is a major part. Reviewing 25 tourism website evaluation studies, Hashim, Murphy and Law (2007) developed a 5-dimension framework to assist with determining the quality of a hotel website based off structured conceptualism techniques. Usability is one dimension, along with information and process, value added, relationship, and trust. In a review of past studies, Law, Qi et al. (2010) conclude that tourism website evaluation is still limited, echoing the findings of
  • 8. Hashim, Murphy and Law (2007). They argue that while website evaluation research has grown from primarily qualitative studies in its nascent stages with questionable generalizability to studies involving rigorous quantitative methods, tourism researchers still do not have any defined standards of what comprises “website evaluation”. Although there are many tourism research studies on web assessment, studies focusing on usability are still lacking. As one exception, a study examines the usability issues of 55 city tourism websites (Zhou & DeSantis, 2005). The study finds that many city tourism websites do not offer interactive maps, have insufficient local information such as weather and time, and do not have sitemaps or A-to-Z index. Using mixed methods, which are comprised of process tracing, think aloud protocol, and clickstream analysis, another study identifies a total of 117 usability problems and barriers when American college students planned a trip to China (Pan, Li, Zhang, & Smith, 2007). Another study focusing on user experiences on 18 different hotel, airline, and travel comparison websites revealed that users prefer travel websites that are clean and easily navigable. However, many of the leading travel websites are cluttered with promotional content and social media buttons, e.g., a Facebook ‘Like’ button, which detracts from the overall user experience (Usabilla, 2011). Recently, a new methodology has been used in usability studies. The use of eye tracking technology has become more popular as the technology becomes more sophisticated and affordable. Eye tracking methodology provides direct capture of eye movement in stimulus- based settings (Rayner 1998). The use of eye tracking techniques in usability research is based on the assumption that the eye movement can indicate where a person’s attention is being directed to (Just & Carpenter, 1976). Eye movements are composed of fixations, which are relative stable eye gazes lasting for about 200-300 milliseconds, and saccades, which are rapid
  • 9. eye movements of 3-5 degrees of visual angel. Eye tracking equipment is able to collect data to determine both fixations and saccades. A scan path can show the sequence of fixations, while a heat map can show how long each part of a screen has been looked at and which area of visual stimuli the subjects paid attention to (Ehmke & Wilson, 2007). These metrics can provide an objective evaluation for detailed analysis of users' attention. When evaluating users’ first impressions of a website, eye movement data can supplement what users verbally reported about their interactions with a site. By dividing a webpage into different areas, eye tracking data is able to reveal which areas of a website receive the most attention and the order in which they are viewed (Russell, 2005). Researchers have tried to correlate eye tracking patterns with specific usability problems. Comparing users’ performance measures against different eye movement metrics, Cowen et al. (2002) found only total fixation duration and average fixation duration is significantly correlated with usability. Longer scan path length and longer scan path duration is an indication of less efficient searching (Goldberg & Kotval, 1999). Ehmke and Willson (2007) analyzed eye movement data on a website from 19 users and proposed a correlation scheme by relating eye movement patterns with usability problems. For example, a lot of fixations on single areas followed by longer saccades indicate that users find the page too crowded and not easy to read. In general, eye tracking indices can reveal detailed cognitive processes of users on a website, such as the areas of attentions, difficulties, cognitive efforts, and usability problems. Though OTAs are probably the biggest players in online tourism industry and usability problems remain an issue for most websites, no study has specifically investigated the usability problems of a single OTA site. Different from previous studies, this research attempts to investigate information search strategies and the usability problems of one single OTA site from
  • 10. an information search perspective. Focusing specifically on usability with specific decision making tasks, the study adopted a mixed-methodology approach in order to understand detailed information search process and usability problems (Backlund, SkĂ„nĂ©r, Montgomery, Bring, & Strender, 2003). Since most OTAs follow similar interface and information architecture, the results of this study could inform the practice of improving other OTAs' web usability. 3. Methodology With a mixed-methodology approach, this study combined eye tracking methodology with think aloud protocol, observations, and surveys. The researchers conducted the information search and travel planning exercise in an eye tracking lab on a Southeast public university campus. GazeTracker, a software that records the eye responses to still images, videos, and web and software interfaces, was used to generate a sequential list of fixations for each subject on each web page (Lankford, 2000). An aggregation of fixations generates heat maps showing the areas on a page which attract the most attention (Bojko, 2009). In addition to eye tracking, think aloud protocol was adopted. Subjects were asked to verbalize his or her thoughts, opinions, or feelings while carrying out a task. Since language mediates thoughts, one can decipher the cognitive process during decision-making through the verbalization of the subjects (Ericsson & Simon, 1993). Camtasia Studio, a screen capturing software, was used to capture the subjects' online activity along with their verbalization and record it into a movie file (Cox, 2005). Further, pre- and post-experiment surveys asked about the subjects’ demographic information and travel and Internet use experience. The researchers selected one of the top four OTAs as the testing site. In total, 41 subjects were recruited through an online classified email list in the same university. The majority of
  • 11. subjects were faculty or staff members. They are relatively highly educated with online travel planning experience and considered an appropriate sample for the purpose of this study. Subjects voluntarily signed up for a 90 minute time slot. Testing took place in an eye tracking lab on the university campus. Upon arrival, each participant was greeted and given a brief overview of the goals and the procedure of the study. The individual was then instructed to read the consent form and indicate their approval by providing his or her signature. The participant was then asked to complete an online pre-survey that asked about his or her knowledge of existing travel web sites, travel behavior and experience, and flight and hotel preferences. Following the pre- survey, respondents began the two-part study. In the first part of the study, the subjects were asked to pick a hotel room from four mockup web pages. The results will be reported in a separate paper and this paper focuses on the second part of the study. In the second part, the subjects were asked to plan a weekend trip to Orlando and Las Vegas for the respondent and his or her significant other by finding their hotels and air tickets on the OTA’s web site. During the experiment, one of the researchers sat behind the subjects to answer any possible questions. The researchers did not instruct the participants on how to book their reservations; instead, they were told to budget within their actual financial situation. After the completion of the study, they completed an online post-survey. The post-survey probed to find out more about their awareness of features on the OTA, suggestions for the OTA, and demographic information. Then the participants were debriefed and allowed to ask any remaining questions about the experiment. Lastly, they were thanked and compensated $30 USD for their participation in the study. 4. Data Analysis Four types of analysis were conducted in this research. First, data from the survey were analyzed in order to understand the participants’ demographic characteristics, travel experience,
  • 12. Internet use experience, and experience with using the Internet as a travel planning and transaction tool; second, from the captured video data, the researchers generated the subjects' navigational paths (Pan & Fesenmaier, 2006). The paths indicate users' most and least common paths on the website to reach their goals; third, heat maps were generated from the most commonly viewed web pages to indicate users' main interests based on the eye tracking data; fourth, the researchers viewed the movies with embedded eye movement data, then combined with subjects’ verbal protocols, observational notes, and recorded online activity movies. The researchers took note during the viewing and identified the usability problems the subjects encountered during the process. Specifically, the researchers looked at the data and tried to discover the critical incident where the usability problems happened (Koenemann-Belliveau, Carroll, Rosson, & Singley, 1994; Pan, et al., 2007). 5. Results Demographic Information Pre-survey results indicated that all participants have used the Internet for at least six years; the majority of the participants noted that they had used the Internet for ten or more years. The majority also indicated that they use the Internet for at least three hours each day. Regarding respondents’ traveling experience, most took 0-2 business trips and 1-3 pleasure trips in the last 12 months. About 83% of participants identify themselves as an experienced traveler, while 93% of participants identify themselves as an experienced Internet user. In general, the participants were mostly young professionals in an educational institution; they are savvy Internet users and travelers, who fall into the target market of the OTA. The majority of participants indicated that they used the OTA to check hotel and airline information, but not to
  • 13. secure rental car reservations for their travel. The post-survey indicated that 17 participants reported having booked a flight and hotel as a package, while 25 participants reported having never done so. Of the respondents who had booked the flight and hotel as package, the perceived advantages appeared to be cost (12 of 17) and convenience (5 of 17). Participants were asked to rate the OTA and three other major OTAs on several attributes. The results show that all major OTAs have higher values on ease of use, positive past experience, and brand familiarity, but they scored lower on best price, best reward program, great customer service, and most trustworthy. When asked whether a subject would use the same web site he or she used last time, the responses showed that the subjects have no problem switching OTA sites given the right value, indicating low brand loyalty. Navigation Patterns and Visual Attention Patterns The most revealing results came in the form of a modified user route map as well as the heat maps, both of which clearly outline the typical browsing and eye movement patterns of the participants. The homepage of the OTA has distinct sections: the main section on the upper-left side contains search boxes and main function of the website; the deal section on the upper-right side presents "My Account" information along with deals, specials, and featured destinations; the bottom deal section lists additional deals (Figure 1). First, researchers compiled the clickstreams into a navigational graph (Figure 2) (Pan & Fesenmaier, 2006). The result shows that the subjects have very distinct browsing patterns for the various page types: they always start with homepage, type in search terms, go to search results page, and view details pages. The other tabs were not interacted with nearly the same frequency as these pages. In fact, 91% of the participants only interacted with the default search form on the home page. The package search function was used much more frequently than individual hotel or air search. After being
  • 14. presented with package results, respondents were more likely to go to package details and then switch to flight information if needed. ------------------ Insert Figure 1 about here -------------------------- ------------------ Insert Figure 2 about here -------------------------- In addition to navigation route maps, heat maps were generated utilizing the numbers of eye fixations captured by the eyetracker. The most gazed-upon areas were depicted on the maps below as red, yellow, green, and blue, according to highest to lowest fixation density in that order (Figure 3). These maps indicate the locations of the subjects’ visual attention on those pages. Across all the heat maps, it is important to note that items that lay within the outer perimeters of the screen, those smaller options, advertisements, etc. were mostly not noticed. For example, on the home page, 94% of the users did not interact with the graphics on the right side of the screen located on the home page. From this and other recorded instances, we can conclude that the users have a tendency to remain focused on exactly what they are looking for without fully taking in the complete content of any given page. On the OTA’s website, the subjects were mainly engaged in functional information search, e.g., finding out hotels and airlines to book, as opposed to the multimedia content of the page. -------------- Insert Figure 3 here ------------------------- Information Search Strategies From the detailed eye movement data along with recorded videos, researchers also studied and coded the behavioral patterns on all the pages. We found that users mainly utilize three strategies in their information search process. First, price is the most critical factor in
  • 15. determining users’ eye movement. The results indicated that users typically followed an initial left-to-right, top-to-bottom visual pattern; however, they quickly sorted out the items bearing the lowest price and remained focused on sorting out the details of the items with the lowest price. Users tended to focus on a limited number of results most often in the lowest price bracket. While a majority of users simply reviewed the list based on the default search results, the most common alternative was choosing the ‘Lowest Price’ sorting option. When it comes to price, users are incredibly focused on the best price and as a result, they become relentless in seeking out the best bargain and filter out everything else in their field of vision. After they saw the lowest price, they either go with the lowest price offered or give, slightly, to higher prices based on other factors such as time of departure, number of stops, or photos (for hotel properties and packages). Second, despite the very clear importance of price, photos have a considerable influence over user preference and buying behavior. Users were particularly engaged with available photos of hotel properties. Users would often choose the hotel and look through the selection of images, which seemingly influenced their interest in booking the property. Users would typically move up slightly in price in order to identify a hotel that they are visually attracted to, as long as it was not in the upper bracket of expensive properties. Users’ comments and general observations alluded to the assumption that users are willing to pay more for an attractive hotel property judged by its photos. Hotel aesthetics are very important to the user and the users often browsed through the entire collection of photos for a given property. Interestingly, for hotels with poorly shot photos, plain or ‘cookie-cutter’ appearance, and/or dated aesthetics, users would quickly dismiss them to find a property with photos that had a more unique, professional, and modern
  • 16. appearance. In Las Vegas, for instance, the orange glow of the volcano in front of a lit Mirage against the night sky seemed to attract users’ attention. Third, scanning is used mainly to process information. Users often scanned the text as opposed to reading it in full. Scanning is one of the strategies users use to process information on the Internet, more often than on the traditional prints (Astleitner & Leutner, 1995). Based on personal criteria such as interest and personal importance, users are often engaged in selective scanning (Eveland & Dunwoody, 2002). For example, in Figure 2, analysis on the Hotel detail page indicated that 47% of participants used a combination of scanning and reading on text, 33% only scanned, 13% scanned but mostly ignored the text, and finally, only 7% of users fully read the text. Main Usability Problems Almost all subjects fulfilled their tasks successfully within the required time frame except one. However, we also found two main usability problems of the OTA website. The OTA offers complicated matrices on the package web page. The matrix has different hotels in rows and the different airlines across the columns. Each cell lists the price for a different combination of a specific hotel and airline (see Package page in Figure 3). The matrices were confusing to some participants. Several respondents expressed their confusion and commented on the overwhelming amount of information presented to them through matrices (see Figure 2). The intensity of information on the matrix makes it difficult for users to effectively digest the information to make a final booking decision. Furthermore, in order to judge the overall value of the package, they want to know the individual prices for the hotel and the airline ticket if booked separately; however, that information was not readily available on that page. It should be noted
  • 17. that one subject noticed the difference in price on the matrix results page versus the price on the package detail page after she clicked the link. She quickly abandoned her trip planning on the OTA and mentioned that she would switch to a different OTA site right away. This indicated the importance of information accuracy during even one booking session for purposes of retaining the OTA’s customers. Second, although the various functions and options of the web pages were understood and reasonably well navigated by the users, the virtual tour function, however, was mostly ignored or was abandoned due to technical difficulties when trying to operate this function. Although virtual tours are provided on the assumption that they can help users form vivid and clear destination images, thus making it easier for them to choose a destination (Cho & Fesenmaier, 2000), the technology demands higher bandwidth and sometimes additional software. In our study, multiple users encountered issues with the virtual tour component of the individual hotel page or simply ignored it. This problem should be reevaluated because many users do not have the necessary programs/speed on their computers to utilize this functionality and the frustration that may result from this experience could be damaging to the site as a whole. 6. Conclusions and Discussion From the results of the pre- and post-surveys, it was found that the majority of the participants have heard of and used the OTA. An overall positive feeling towards the web site was conveyed as most users found that the web site was easy to use and/or had a good experience with the OTA. Many users, however, felt that the web site was just average in terms of customer service, trustworthiness, and best price. Additionally, most subjects had lower brand
  • 18. loyalty; they were very price sensitive and had no problem switching to other travel web sites if a better price could be found. In general, subjects' information search task was successful. Their behavior on the OTA was completely functional and utilitarian in nature rather than hedonic searches (Vogt & Fesenmaier, 1998; Vogt, Fesenmaier, & MacKay, 1993). This may reflect the nature of the Internet: it offers vast amount of information in a hypertext environment which can help decision makers to find their ideal choice. The amount of information and the nature of the task determine the utilitarian use of the OTA site. In this study, the majority of the users let the criteria of price guide their decision making choices. They usually evaluate the hotel, airline, or package choices and pick one from the list very quickly. The options with low prices are viewed first. The ads, marketing messages, and irrelevant information were largely ignored. Photos of the hotels also influence users’ choices of the hotel. High quality photos can entice users to choose more expensive prices. When making decisions, users usually scan the website rather than engage in careful elaboration. Two major usability problems are discovered on the website. First, the matrix listing package options stood out as one of the major sources of confusion and frustration. The intensity of the information provided in the matrix makes it difficult for users to quickly and effectively digest. Second, the virtual tour function is rarely used by users. Virtual tours can increase the spatial understandings of the hotels, but it usually requires additional software and demands higher bandwidths. Viewed in combination with users' utilitarian searches, this demonstrated that the OTA is overloaded with too much information and additional functionalities which either confuse or frustrate the web visitors. This study calls for a simpler and more intuitive
  • 19. interface. In other words, "Keep it Simple and Stupid" (the KISS principle) (Zerfass & Hartmann, 2005). 7. Implications Since the bulk of information and options on the pages seemed to remain the same from the OTA home page to deep level individual web pages, most of the information and options are ignored or just scanned by the users. Users tended to follow very similar patterns when searching. They have become increasingly savvy in terms of navigation and filtering of information. If important information is bypassed or ignored by the users, then the web site has lost an opportunity to engage and persuade the user. A simple, clean beginning with streamline aesthetics could intrigue and influence users in a positive manner and potentially prevent user errors. For particular destinations, photos can be tailored to ‘enhance’ their specific appeal. This is a method to create an ‘experience’ with a user at a very early stage in the decision-making process, thereby significantly influencing their purchasing decisions. In an era of immense competition, the aforementioned method is particularly effective. In general, the OTA may benefit from employing a scaffolding technique to the web site. Scaffolding was defined as the process by which assistance is provided to learners to tackle difficult problems by providing strategic guidance, setting reasonable goals or performing parts of a task (Wood, Bruner, & Ross, 1976). Website designers should consider scaffolding for the tasks users perform and for the interface with which users interact. The important information such as the prices of hotels, airlines, and packages should be provided first to the users. More choices can be offered in subsequent pages to encourage users to stay on the site longer and ultimately make a purchasing decision through the site. When a structure is provided for a complex task such as choosing one
  • 20. vacation package from an overwhelming choice set, information overload can be possibly avoided. 8. Limitations of the Study The first limitation of this study lies in its lab exercise nature. The subjects were planning an imagined trip in the future, rather than one of their real trips. They did not need to finish the final purchase, but rather searched for information and decided on the hotel and airline only. This may lower the involvement level of the task and increase the artificiality of the study. Second, though all the OTAs follow similar information architecture and interface layout, the subjects had different brand images regarding different OTAs. Thus, they may present different search and decision making strategies due to that. Readers should be cautious when generalizing the results of this study to other OTAs.
  • 21. REFERENCES Astleitner, H., & Leutner, D. (1995). learning strategies for unstructured hypermedia: A framework for theory, research and practice. Journal of Educational Computing Research, 13, 387-400. Backlund, L., SkĂ„nĂ©r, Y., Montgomery, H., Bring, J., & Strender, L. (2003). Doctors' decision processes in a drug-prescription task: The validity of rating scales and think-aloud reports. Organizational Behavior and Human Decision Processes, 91(1), 108-117. Benbunan-Fich, R. (2001). Using protocol analysis to evaluation the usability of a commerical web site. Information & Management, 39(2), 151-163. Bojko, A. (2009). Informative or Misleading? Heatmaps Deconstructed. Human-Computer Interaction. New Trends, 30-39. Cho, Y., & Fesenmaier, D. R. (2000). A conceptual framework for evaluating the effects of a virtual tour (pp. 314-323). New York: Springer-Verlag. Cowen, L., Ball, L. J., & Delin, J. (2002). An eye-movement analysis of web-page usability. In X. Faulkner, J. Finlay, & F. DĂ©tienne (Eds.), People and Computers XVI - Memorable yet Invisible: Proceedings of HCI 2002 (pp. 317-335). London: SpringerVerlag Ltd. Cox, C. (2005). From Cameras to Camtasia. Internet Reference Services Quarterly, 9(3), 193-200. Ehmke, C., & Wilson, S. (2007). Identifying web usability problems from eye-tracking data (pp. 119- 128). Engel, J. F., Blackwell, R. D., & Miniard, P. W. (2001). Consumer Behavior, 8th. Chicago: Dryden. Ericsson, K. A., & Simon, H. A. (1993). protocol analysis: Verbal reports as data. Cambridge, MA: The MITPress. Eveland, J. W. P., & Dunwoody, S. (2002). An investigation of elaboration and selective scanning as mediators of learning from the web versus print. Journal of Broadcasting & Electronic Media, 46(1), 34-53. Fodness, D., & Murray, B. (1999). A model of tourist information search behavior. Journal of Travel Research, 37(2), 220-230. Godwin, N. (2011). PhoCusWright: View of airlines worsens. Travel Weekly, C4-C7. Goldberg, J. H., & Kotval, X. P. (1999). Computer interface evaluation using eye movements: methods and constructs. International Journal of Industrial Ergonomics, 24(6), 631-645. Hashim, N. H., Murphy, J., & Law, R. (2007). A review of hospitality website design frameworks. Information and Communication Technologies in Tourism 2007, 219-230. Jeng, J., & Fesenmaier, D. R. (2002). Conceptualizing the travel decision-making hierarchy: A review of recent developments. Tourism Analysis, 7, 15-32. Jones, S. L., & DeGrow, D. (2011). Fortune 500 homepages: Design trend. IEEE Transactions on Professional Communication, 54(1), 18-30. Jun, S. H., Vogt, C. A., & MacKay, K. J. (2007). Relationships between travel information search and travel product purchase in pretrip contexts. Journal of Travel Research, 45(3), 266. Just, M. A., & Carpenter, P. A. (1976). Eye fixations and cognitive processes. Cognitive _Psychology, 8, 441-480. Keeker, K. (1997). Improving web-site usability and appeal: guidelines compiled by MSN usaility research. Retrieved from http://uwf.edu/ddawson/d3net/documents/web_usability/MS_Website_Usability.pdf Kim, D. J., Kim, W. G., & Han, J. S. (2007). A perceptual mapping of online travel agencies and preference attributes. Tourism Management, 28(2), 591-603. Koenemann-Belliveau, J., Carroll, J. M., Rosson, M. B., & Singley, M. K. (1994). Comparative usability evaluation: critical incidents and critical threads.
  • 22. Krug, S. (2005). Don't Make Me Think: A Common Sense Approach to Web Usability, 2nd Edition: Indianapolis, IN: New Riders Press. Lankford, C. (2000). Gazetracker: software designed to facilitate eye movement analysis. Law, R., Qi, S., & Buhalis, D. (2010). Progress in tourism management: a review of website evaluation in tourism research, Tourism Management, 31(3), 297-313. Lohse, G. L., & Spiller, P. (1998). Electronic shopping. Communications of the ACM, 41(7), 81-87. Nielsen, J., & Loranger, H. (2006). Prioritizing Web Usability: Indianapolis, IN: New Riders Press. Nielsen, J., & Tahir, M. (2001). Homepage Usability: 50 Websites Deconstructed: Indianapolis, IN: New Riders Publishing. Palmer, J. W. (2002). Web site usability, design, and performance metrics. Information Systems Research, 13(2), 151-167. Pan, B., & Fesenmaier, D. R. (2006). Online Information Search: Vacation Planning Process. Annals of Tourism Research, 33(3), 809-832. Pan, B., Li, X., Zhang, L., & Smith, W. W. (2007). An exploratory study on the satisfaction and barriers of online trip planning to China: American College students’ experience. Journal of Hospitality and Leisure Marketing', 16(1-2), 203-226. Park, Y., Gretzel, U., & Sirakaya-Turk, E. (2007). Measuring Web Site Quality for Online Travel Agencies. Journal of Travel & Tourism Marketing, 23(1), 15-30. Payne, J. W. (1976). Task complexity and contingent processing in decision making: An information search and protocol analysis* 1. Organizational behavior and human performance, 16(2), 366- 387. Payne, J. W., Bettman, J. R., & Johnson, E. J. (1993). The adaptive decision maker: Cambridge, UK: Cambridge University Press. PhoCusWright (2011). PhoCusWright's Consumer Travel Report Third Edition. Rayner, K. (1998). Eye movements and information processing: 20 years of research. Psychological Bulletin, 124 (3), 372-422. Russell, M. (2005). Using eye-tracking data to understand first impressions of a website. Usability News, 7. Snepenger, D., Meged, K., Snelling, M., & Worrall, K. (1990). Information search strategies by destination-naive tourists. Journal of Travel Research, 29(1), 13-16. Tan, F. B., Tung, L.-L., & Xu, Y. (2009). A study of web-designers' criteria for effecdtive business-to- consumer (B2C) websites using the repertory grid technique. Journal of Electronic Commerce Research, 19(3), 155-177. Tidwell, J. (2011). Designing Interfaces: Sebastopol, CA: O'Reilly Media. U.S. Travel Association (2010). Traveler's Use of the Internet, 2010: U.S. Travel Association. Usabilla (2011). User experience in the travel sector. Venkatesh, V., & Ramesh, V. (2006). Web and wireless site usability: understanding differences and modeling use. MIS Quarterly, 30(1), 181-206. Vogt, C. A. (1993). The role of touristic information in the pre-trip experience. University of Illinois at Urbana-Champaign, Champaign, IL. Vogt, C. A., & Fesenmaier, D. R. (1998). Expanding the functional information search model. Annals of Tourism Research, 25(3), 551-578. Vogt, C. A., Fesenmaier, D. R., & MacKay, K. (1993). Functional and aesthetic information needs underlying the pleasure travel experience. Journal of Travel and Tourism Marketing, 2(2), 133- 146. Wood, D., Bruner, J., & Ross, G. (1976). The role of tutoring in problem solving. Journal of Child Psychology and Psychiatry and Allied Disciplines, 17, 89-100. Zerfass, A., & Hartmann, B. (2005). The Usability Factor: Improving the Quality of E-Content. E- Content, 165-182.
  • 23. Zhou, Q., & DeSantis, R. (2005). Usability issues in city tourism website design: a content analysis (pp. 789-796).
  • 24. FIGURES AND TABLES Figure 1. Layout of the Homepage
  • 25. Figure 2. Subjects' Navigation Patterns
  • 26. Home page* Hotel detail page Package page Detail package page * Note: the white box is to cover the brand of the website due to confidentiality concerns. Figure 3: Heat map of Major Pages of the OTA