This document summarizes research presented on whether potential travelers look at rating symbols or text first when reviewing online hotel reviews. The research aims to investigate if travelers first read review text or look at ratings, and if the ratio of positive to negative reviews impacts perceptions. An eye-tracking study was conducted using a prototype to test what users first viewed on mock hotel review pages. The findings showed users first looked at rating symbols rather than text, regardless of positive or negative reviews. The researchers conclude symbols play a strong role in decision making and influence from reviews is split, with implications for how review platforms present information. Limitations and ideas for future research are also discussed.
The information provided by hotels booking websites, such as TripAdvisor.com, in the form of ratings and reviews is not accurate enough to help users to easily make quick decisions. This problem is mainly due to the fact that hotels are often accompanied by a long history of reviews and ratings. In addition, the information contained therein is outdated and obfuscates the recent ratings and sentiments.
In this project, I propose to provide users with a search option, that enables to control the timeframe of reviews. Based on this timeframe, users get a list of hotels ranked by an appropriate statistical measure of the reviews' ratings (the often used average value is not a proper measure for an ordinal variable such as the rating ) and for each hotel, the up-to-date sentiments of the hotel features (such as the hotel cleanliness, service, etc.)
The information provided by hotels booking websites, such as TripAdvisor.com, in the form of ratings and reviews is not accurate enough to help users to easily make quick decisions. This problem is mainly due to the fact that hotels are often accompanied by a long history of reviews and ratings. In addition, the information contained therein is outdated and obfuscates the recent ratings and sentiments.
In this project, I propose to provide users with a search option, that enables to control the timeframe of reviews. Based on this timeframe, users get a list of hotels ranked by an appropriate statistical measure of the reviews' ratings (the often used average value is not a proper measure for an ordinal variable such as the rating ) and for each hotel, the up-to-date sentiments of the hotel features (such as the hotel cleanliness, service, etc.)
Presentation done by Jin-Xing (Gordon) Hao, Rui Tang, Yan Yu, Nao Li and Rob Law, during "Infrormation search" workshop, of the ENTER2015 eTourism conference.
This is a slideshare of the Hotel Industry UX Benchmark Study, where you can see the webinar presentation, including highlight results of the study made by UserZoom
ReviewPro helps hotels listen to their customers more effectively so that they can deliver better guest experiences.
https://www.reviewpro.com/?partner=bookgreener
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One of the most important initiatives for hotels today is to move up in ranking on TripAdvisor and increase visibility on the world’s largest travel site.
A recent study conducted by Cornell and Revinate, the leading guest feedback and engagement platform, unveiled one simple way for hotels worldwide to improve on TripAdvisor.
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Brian Payea, head of industry relations, TripAdvisor
Gene Quinn, CEO and producer, Tnooz
Glynis Esmail, VP marketing, Landmark Hotels Group
Tara Peterson, corporate marketing coordinator, IDM Hospitality
Kelly Robb, director of market intelligence, Revinate
Sean O'Neill, editor-in-chief and moderator, Tnooz
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Hotel general managers
VPs and directors of marketing
VPs and directors of operations
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C-level executives
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Online hotel reviews: rating symbols or text... text of rating symbols? That is the question!
1. ENTER 2016 Research Track Slide Number 1
Online Hotel Reviews:
Rating Symbols or Text… Text or Rating Symbols?
That is the question!
Johanna Aicher, Miriam Hauschild, Martina Zöhrer &
Roman Egger
Salzburg University of Applied Sciences, Austria
roman.egger@fh-salzburg.ac.at
http://www.fh-salzburg.ac.at
2. ENTER 2016 Research Track Slide Number 2
We would like to ask you...
Who of you is consulting online hotel
reviews when looking for
accommodation?
3. ENTER 2016 Research Track Slide Number 3
Research Objectives
The main research aims:
•Investigate whether potential travellers first read the text
of a hotel review or look at the rating symbol(s)
•Explore whether the ratio of positive and negative reviews
impacts the way a potential traveller regards the product
4. ENTER 2016 Research Track Slide Number 4
Research Questions
• Main Research Question: Do hotel reviews impact the decision-making
process when choosing hotel accommodation and which role do symbols
play on hotel review and electronic booking intermediary websites?
• RQ2: Do potential travellers first look at the actual hotel review, which
means the written text, or at the rating symbol?
• RQ3: Is there a relation between the ratio of positive and negative reviews
and the potential travellers’ perception of the product?
5. ENTER 2016 Research Track Slide Number 5
Definition of a symbol
“A mark or character used as a conventional
representation of an object, function or
process.”
(oxforddictionaries.com)
6. ENTER 2016 Research Track Slide Number 6
What did we do in order to answer our
research questions?
7. ENTER 2016 Research Track Slide Number 7
Methodology
• Pre-test
Latini
Hotel
Holiday Inn
Salzburg City
12. ENTER 2016 Research Track Slide Number 12
Findings
• RQ1: The decision to book a hotel is mainly based on symbols and ratings rather than
the content of reviews
• RQ2: First look was at stars & scoring (rating symbol) - Regardless of whether
respondent was in positive or negative group
• Back-up of results of eye-tracking through questionnaire
• Questionnaire: Do online hotel reviews influence your decision?
• 50% yes
• 50% no
13. ENTER 2016 Research Track Slide Number 13
Discussion & Implications
•Booking platforms should put more emphasis on the symbols regarding color & font size
•Negative reviews may make your product authentic; cannot be generalized
•Hotel reviews are never written without bias
•Limitations of words
•Text of a hotel review only accessible at second look
14. ENTER 2016 Research Track Slide Number 14
Limitations & Future Research
• Limitations
– Nature of the prototype itself (manipulation, pre-selection)
– No real-life scenario
• Future research
– Consider the time component more thoroughly
– Quantitative instead of qualitative approach
– Does the rating symbol/headline fit the text?
Considering the methodology, we decided to make use of the eye-tracking technology.
As a first step we did a pre-test. We decided to take a city hotel, Holiday Inn Salzburg City, and a country hotel, Latini Hotel. Then we put together a collection of reviews of these two hotels and gave this to 20 participants who were asked to read it and to define which reviews they consider as positive, negative or neutral.
As a second step we prepared the prototypes for the eye-tracking testing. As we did a true experiment we prepared two different tasks and thus, had a positive and a negative group.