What's all the Fuss About UX Strategy? slideshareJanice James
Presented at UPADC March 6, 2014
Discusses my take on what UX Strategy is and how a UX strategy is important to the UX profession as a whole and to us as UX professionals.
This proposal of work contains details and samples of the user centric design process I follow. I have been trying to find a good graph that represents the process, but at the end I have decided to make my own! ;)
What's all the Fuss About UX Strategy? slideshareJanice James
Presented at UPADC March 6, 2014
Discusses my take on what UX Strategy is and how a UX strategy is important to the UX profession as a whole and to us as UX professionals.
This proposal of work contains details and samples of the user centric design process I follow. I have been trying to find a good graph that represents the process, but at the end I have decided to make my own! ;)
라이트브레인 UX 아카데미 2기 오픈 프로젝트 주제는 '직장인들을 위한 일상생활 도우미, 스마트태그' UX 디자인입니다. 16주간의 긴 교육과정의 최종 과제 결과물을 공유합니다.
스마트태그 UX 디자인의 기본 전제조건은 아래와 같습니다.
- 2015년 하반기 출시
- 독자적인 기술은 없음 (현존하는 기술 활용)
- 일상생활에서 필요한 탁월한 서비스를 제공하는 데 주력
- 부담없이 구매할 수 있는 가격대 : 3~5만원
- 하나가 아닌 세트 구성
먼저, 1조가 정리한 과제결과물입니다.
라이트브레인 UX 아카데미 2기 오픈 프로젝트 주제는 '직장인들을 위한 일상생활 도우미, 스마트태그' UX 디자인입니다. 16주간의 긴 교육과정의 최종 과제 결과물을 공유합니다.
스마트태그 UX 디자인의 기본 전제조건은 아래와 같습니다.
- 2015년 하반기 출시
- 독자적인 기술은 없음 (현존하는 기술 활용)
- 일상생활에서 필요한 탁월한 서비스를 제공하는 데 주력
- 부담없이 구매할 수 있는 가격대 : 3~5만원
- 하나가 아닌 세트 구성
2조가 정리한 과제결과물 '미어캣'입니다.
UX 리서치 시 사용자를 정의하고 모델링하는 3가지 방식
How to define your user when you want to make user centered design product & service..
Conceptual Model, Persona, Mental Model
라이트브레인 UX 아카데미 4기 오픈프로젝트 - Smart Toy for kidult, Drawing BeamRightBrain inc.
어른들을 위한 스마트토이 첫번째!
나와 공간을 이어 주는 드로잉빔 Drawing Beam
라이트브레인 UX 아카데미 4기과정은
UX Design Track II. 정규과정 Advanced Course로
UX 디자인에 대한 기초 지식과 경험을 가지고 있는
경력자와 학생들을 대상으로 진행되었습니다.
이번 주제는 Smart Toy for Kidult!
수업이 진행되는 월요일 외에도
주중에는 조별 모임을 통해 과제와 프로젝트를 진행하며
만들어 낸 신선한 아이디어들을 공개합니다.
라이트브레인 아카데미 1기 Open Project - 스마트워치, 나의 라이프스타일 S Culture RightBrain inc.
스마트워치를 중심으로 심층 UX 교육을 진행한 라이트브레인 아카데미 1기의 프로젝트 결과물입니다. 스마트워치의 한계를 뛰어 넘는 다양한 기능들과 사용자 관점에서의 UI, UX 설계에 있어 생각지 못한 참신한 아이디어들이 돋보입니다.
결과물 도출까지의 UX 디자인 프로세스도 자세히 참고하시면, 많은 도움이 되리라 생각됩니다.
[스마트워치 UX분석 시리즈 3] 전체적 사용자 관점에서 본 LG GwatchR RightBrain inc.
스마트워치 UX 분석 시리즈 세번째, 전체적 사용자 관점에서 본 LG GwatchR에 대한 분석내용입니다.
전체적인 사용자경험은 웨어러블의 본질적 가치에 기반하여 착용감, 지속적인 사용성, 대기시간, 서비스 접근성, 일상적인 유용성, 정보 이용의 효율성, 조작의 자연스러움, 감성적인 느낌 등에 걸쳐서 분석되었습니다.
In this world of information technology, everyone has the tendency to do business electronically. Today
lot of businesses are happening on World Wide Web (WWW), it is very important for the website owner to
provide a better platform to attract more customers for their site. Providing information in a better way is
the solution to bring more customers or users. Customer is the end-user, who accessing the information
in a way it yields some credit to the web site owners. In this paper we define web mining and present a
method to utilize web mining in a better way to know the users and website behaviour which in turn
enhance the web site information to attract more users. This paper also presents an overview of the
various researches done on pattern extraction, web content mining and how it can be taken as a catalyst
for E-business.
A survey on ontology based web personalizationeSAT Journals
Abstract Over the last decade the data on World Wide Web has been growing in an exponential manner. According to Google the data is accelerating with a speed of billion pages per day [24]. Internet has around 2 million users accessing the World Wide Web for various information [25].These numbers certainly raise a severe concern over information over load challenges for the users. Many researchers have been working to overcome the challenge with web personalization, many researchers are looking at ontology based web personalization as an answer to the information overload, as each individual is unique. In this paper we present an overview of ontology based web personalization, Challenges and a survey of the work. This paper also points future work in web personalization. Index Terms: Web Personalization, Ontology, User modeling, web usage mining.
라이트브레인 UX 아카데미 2기 오픈 프로젝트 주제는 '직장인들을 위한 일상생활 도우미, 스마트태그' UX 디자인입니다. 16주간의 긴 교육과정의 최종 과제 결과물을 공유합니다.
스마트태그 UX 디자인의 기본 전제조건은 아래와 같습니다.
- 2015년 하반기 출시
- 독자적인 기술은 없음 (현존하는 기술 활용)
- 일상생활에서 필요한 탁월한 서비스를 제공하는 데 주력
- 부담없이 구매할 수 있는 가격대 : 3~5만원
- 하나가 아닌 세트 구성
먼저, 1조가 정리한 과제결과물입니다.
라이트브레인 UX 아카데미 2기 오픈 프로젝트 주제는 '직장인들을 위한 일상생활 도우미, 스마트태그' UX 디자인입니다. 16주간의 긴 교육과정의 최종 과제 결과물을 공유합니다.
스마트태그 UX 디자인의 기본 전제조건은 아래와 같습니다.
- 2015년 하반기 출시
- 독자적인 기술은 없음 (현존하는 기술 활용)
- 일상생활에서 필요한 탁월한 서비스를 제공하는 데 주력
- 부담없이 구매할 수 있는 가격대 : 3~5만원
- 하나가 아닌 세트 구성
2조가 정리한 과제결과물 '미어캣'입니다.
UX 리서치 시 사용자를 정의하고 모델링하는 3가지 방식
How to define your user when you want to make user centered design product & service..
Conceptual Model, Persona, Mental Model
라이트브레인 UX 아카데미 4기 오픈프로젝트 - Smart Toy for kidult, Drawing BeamRightBrain inc.
어른들을 위한 스마트토이 첫번째!
나와 공간을 이어 주는 드로잉빔 Drawing Beam
라이트브레인 UX 아카데미 4기과정은
UX Design Track II. 정규과정 Advanced Course로
UX 디자인에 대한 기초 지식과 경험을 가지고 있는
경력자와 학생들을 대상으로 진행되었습니다.
이번 주제는 Smart Toy for Kidult!
수업이 진행되는 월요일 외에도
주중에는 조별 모임을 통해 과제와 프로젝트를 진행하며
만들어 낸 신선한 아이디어들을 공개합니다.
라이트브레인 아카데미 1기 Open Project - 스마트워치, 나의 라이프스타일 S Culture RightBrain inc.
스마트워치를 중심으로 심층 UX 교육을 진행한 라이트브레인 아카데미 1기의 프로젝트 결과물입니다. 스마트워치의 한계를 뛰어 넘는 다양한 기능들과 사용자 관점에서의 UI, UX 설계에 있어 생각지 못한 참신한 아이디어들이 돋보입니다.
결과물 도출까지의 UX 디자인 프로세스도 자세히 참고하시면, 많은 도움이 되리라 생각됩니다.
[스마트워치 UX분석 시리즈 3] 전체적 사용자 관점에서 본 LG GwatchR RightBrain inc.
스마트워치 UX 분석 시리즈 세번째, 전체적 사용자 관점에서 본 LG GwatchR에 대한 분석내용입니다.
전체적인 사용자경험은 웨어러블의 본질적 가치에 기반하여 착용감, 지속적인 사용성, 대기시간, 서비스 접근성, 일상적인 유용성, 정보 이용의 효율성, 조작의 자연스러움, 감성적인 느낌 등에 걸쳐서 분석되었습니다.
In this world of information technology, everyone has the tendency to do business electronically. Today
lot of businesses are happening on World Wide Web (WWW), it is very important for the website owner to
provide a better platform to attract more customers for their site. Providing information in a better way is
the solution to bring more customers or users. Customer is the end-user, who accessing the information
in a way it yields some credit to the web site owners. In this paper we define web mining and present a
method to utilize web mining in a better way to know the users and website behaviour which in turn
enhance the web site information to attract more users. This paper also presents an overview of the
various researches done on pattern extraction, web content mining and how it can be taken as a catalyst
for E-business.
A survey on ontology based web personalizationeSAT Journals
Abstract Over the last decade the data on World Wide Web has been growing in an exponential manner. According to Google the data is accelerating with a speed of billion pages per day [24]. Internet has around 2 million users accessing the World Wide Web for various information [25].These numbers certainly raise a severe concern over information over load challenges for the users. Many researchers have been working to overcome the challenge with web personalization, many researchers are looking at ontology based web personalization as an answer to the information overload, as each individual is unique. In this paper we present an overview of ontology based web personalization, Challenges and a survey of the work. This paper also points future work in web personalization. Index Terms: Web Personalization, Ontology, User modeling, web usage mining.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
IJRET : International Journal of Research in Engineering and TechnologyImprov...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
TOWARDS UNIVERSAL RATING OF ONLINE MULTIMEDIA CONTENTcsandit
Most website classification systems have dealt with the question of classifying websites based on
their content, design, usability, layout and such, few have considered website classification
based on users’ experience. The growth of online marketing and advertisement has lead to
fierce competition that has resulted in some websites using disguise ways so as to attract users.
This may result in cases where a user visits a website and does not get the promised results. The
results are a waste of time, energy and sometimes even money for users. In this context, we design
an experiment that uses fuzzy linguistic model and data mining techniques to capture users’
experiences, we then use the k-means clustering algorithm to cluster websites based on a set of
feature vectors from the users’ perspective. The content unity is defined as the distance between
the real content and its keywords. We demonstrate the use of bisecting k-means algorithm for
this task and demonstrate that the method can incrementally learn from user’s profile on their
experience with these websites.
TOWARDS UNIVERSAL RATING OF ONLINE MULTIMEDIA CONTENTcscpconf
Most website classification systems have dealt with the question of classifying websites based on
their content, design, usability, layout and such, few have considered website classification
based on users’ experience. The growth of online marketing and advertisement has lead to
fierce competition that has resulted in some websites using disguise ways so as to attract users.
This may result in cases where a user visits a website and does not get the promised results. The
results are a waste of time, energy and sometimes even money for users. In this context, we design
an experiment that uses fuzzy linguistic model and data mining techniques to capture users’
experiences, we then use the k-means clustering algorithm to cluster websites based on a set of
feature vectors from the users’ perspective. The content unity is defined as the distance between
the real content and its keywords. We demonstrate the use of bisecting k-means algorithm for
this task and demonstrate that the method can incrementally learn from user’s profile on their
experience with these websites.
Semantically enriched web usage mining for predicting user future movementsIJwest
Explosive and quick growth of the World Wide Web has resulted in intricate Web sites, demanding
enhanced user skills and sophisticated tools to help the Web user to find the desi
red information. Finding
desired information on the Web has become a critical ingredient of everyday personal, educational, and
business life. Thus, there is a demand for more sophisticated tools to help the user to navigate a Web site
and find the desired
information. The users must be provided with information and services specific to
their needs, rather than an undiffere
ntiated mass of information.
For discovering interesting and frequent
navigation patterns from Web server logs many Web usage mining te
chniques have been applied. The
recommendation accuracy of solely usage based techniques can be improved by integrating Web site
content and site structure in the personalization process.
Herein, we propose Semantically enriched Web Usage Mining method (S
WUM), which combines the fields
of Web Usage Mining and Semantic Web. In the proposed method, the undirected graph derived from
usage data is enriched with rich semantic information extracted from the Web pages and the Web site
structure. The experimental
results show that the SWUM generates accurate recommendations with
integration of usage, semantic data and Web site structure. The results shows that proposed method is able
to achieve 10
-
20%
better accuracy than the solely usage based model, and 5
-
8% bet
ter than an ontology
based model.
The size of the Internet enlarging as per to grow the users of search providers continually demand search
results that are accurate to their wishes. Personalized Search is one of the options available to users in
order to sculpt search results based on their personal data returned to them provided to the search
provider. This brings up fears of privacy issues however, as users are typically anxious to revealing
personal info to an often faceless service provider along the Internet. This work proposes to administer
with the privacy issues surrounding personalized search and discusses ways that privacy can be improved
so that users can get easier with the dismissal of their personal information in order to obtain more precise
search results.
MULTIFACTOR NAÏVE BAYES CLASSIFICATION FOR THE SLOW LEARNER PREDICTION OVER M...ijcsa
The high school students must be observed for their slow learning or quick learning abilities to provide
them with the best education practices. Such analysis can be perfectly performed over the student
performance data. The high school student data has been obtained from the schools from the various
regions in Punjab, a pivotal state of India. The complete student data and the selective data of almost 1300
students obtained from one school in the regions has been undergone the test using the proposed model in
this paper. The proposed model is based upon the naïve bayes classification model for the data
classification using the multi-factor features obtained from the input dataset. The subject groups have been
divided into the two primary groups: difficult and normal. The classification algorithm has been applied
individually over data grouped in the various subject groups. Both of the early stage classification events
have produced the almost similar results, whereas the results obtained from the classification events over
the averaging factors and the floating factors told the different story than the early stage classification. The
proposed model results have shown that the deep analysis of the data tells the in-depth facts from the input
data. The proposed model can be considered as the effective classification model when evaluated from the
results described in the earlier sections.
MULTIFACTOR NAÏVE BAYES CLASSIFICATION FOR THE SLOW LEARNER PREDICTION OVER M...ijcsa
The high school students must be observed for their slow learning or quick learning abilities to provide
them with the best education practices. Such analysis can be perfectly performed over the student
performance data. The high school student data has been obtained from the schools from the various
regions in Punjab, a pivotal state of India. The complete student data and the selective data of almost 1300
students obtained from one school in the regions has been undergone the test using the proposed model in
this paper. The proposed model is based upon the naïve bayes classification model for the data
classification using the multi-factor features obtained from the input dataset. The subject groups have been
divided into the two primary groups: difficult and normal. The classification algorithm has been applied
individually over data grouped in the various subject groups. Both of the early stage classification events
have produced the almost similar results, whereas the results obtained from the classification events over
the averaging factors and the floating factors told the different story than the early stage classification. The
proposed model results have shown that the deep analysis of the data tells the in-depth facts from the input
data. The proposed model can be considered as the effectiv
Structural Balance Theory Based Recommendation for Social Service PortalYogeshIJTSRD
There is enormous data present in our world. Therefore in order to access the most accurate information is becoming more difficult and complicated. As a result many relevant information gets missed which leads to much duplication of work and effort. Due to the huge search results, the user will generally have difficulty in identifying the relevant ones. To solve this problem, a recommendation system is used. A recommendation system is nothing but a filtering information system, which is used to predict the relevance of retrieved information according to the user’s needs for some criteria. Hence, it can provide the user with the results that best fit their needs. The services provided through the web normally provide huge records about any requested item or service. A proper recommendation system is used to separate this information result. A recommendation system can be improved further if supported with a level of trust information. That is, recommendations are prioritized according to their level of trust. Recommending appropriate needs social service to the target volunteers will become the key to ensure continuous success of social service. Today, many social service systems does not adopt any recommendation techniques. They provide advertisement or highlights request for a small commission. G. Banupriya | M. Anand "Structural Balance Theory-Based Recommendation for Social Service Portal" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd41216.pdf Paper URL: https://www.ijtsrd.comengineering/software-engineering/41216/structural-balance-theorybased-recommendation-for-social-service-portal/g-banupriya
A Development of Android-based Mobile Application for Getting Ideal WeightTELKOMNIKA JOURNAL
The development of this application has a goal to give people who don’t have any idea of how to
keep an ideal body weight and to maintain it by having controlled food intakes and exercises. This
application is designed by using a Waterfall Model, a 5-phase model that is Communication, Planning,
Modeling, Construction, and Deployment starting from as the aforementioned steps. Based on the
responds we get from distributing questionnaire, many people didn’t know how to exercise properly and
didn’t bother to check the calories of their food. Their weight is also a problem because most of them still
have an Overweight or Underweight status. From those responds, we can conclude that our application
will indeed help people to get and maintain their ideal body weight.
Multi-Mode Conceptual Clustering Algorithm Based Social Group Identification ...inventionjournals
The problem of web search time complexity and accuracy has been visited in many research papers, and the authors discussed many approaches to improve the search performance. Still the approaches does not produce any noticeable improvement and struggles with more time complexity as well. To overcome the issues identified, an efficient multi mode conceptual clustering algorithm has been discussed in this paper, which identifies the similar interested user groups by clustering their search context according to different conceptual queries. Identified user groups are shared with the related conceptual queries and their results to reduce the time complexity. The multi mode conceptual clustering, performs grouping of search queries and users according to number of users and their search pattern. The concept of search is identified by using Natural language processing methods and the web logs produced by the default web search engines. The author designed a dedicated web interface to collect the web log about the user search and the same data has been used to cluster the social groups according to number of conceptual queries. The search results has been shared between the users of identified social groups which reduces the search time complexity and improves the efficiency of web search in better manner
Web search engines help users find useful information on the WWW. However, when the same
query is submitted by different users, typical search engines return the same result regardless of who
submitted the query. Generally, each user has different information needs for his/her query. Therefore,
the search results should be adapted to users with different information needs. So, there is need of
several approaches to adapting search results according to each user’s need for relevant information
without any user effort. Such search systems that adapt to each user’s preferences can be achieved by
constructing user profiles based on modified collaborative filtering with detailed analysis of user’s
browsing history.
There are three possible types of web search system which can provide personalized
information: (1) systems using relevance feedback, (2) systems in which users register their interest, and
(3) systems that recommend information based on user’s history. In first technique, users have to provide
feedback on relevant or irrelevant judgments which is time consuming and the second one needs
registration of users with their static interests which need extra effort from user. So, the third technique
is best in which users don’t have to give explicit rating; relevancy automatically tracked by user
behavior with search results and history of data usage. It doesn’t require registration of interests; it
captures changing interests of user dynamically by itself. The result section shows that user’s browsing
history allows each user to perform more fine-grained search by capturing changes of each user’s
preferences without any user effort. Users need less time to find the relevant snippet in personalized
search results compared to original results
A Study of Pattern Analysis Techniques of Web Usageijbuiiir1
Web mining is the most important application of data mining techniques to extract knowledge from web data including web document, hyperlinks between documents, usage logs of web sites etc. Web mining has been explored to a vast degree and different techniques have been proposed for a huge variety of applications that includes search engine enhancement, optimization of web services, Business Intelligence, B2B and B2C business etc. Most research on web mining has been from a �process-centric� point of view which defined web mining as a sequence of tasks. In this paper, we highlight the significance of studying the evolving nature of the web pattern analysis (WPA). Web usage mining is used to discover interesting user navigation patterns and can be applied to many real-world problems, such as improving web sites/pages. A Web usage mining system performs five major tasks: i) data collection ii) information filtering iii) pattern discovery iv) pattern analysis and visualization techniques, and v) Knowledge Query Mechanism (KQM). Each task is explained in detail and its related technologies are introduced. The web mining research is a converging research area from several research communities, such as database system, information retrieval, information extraction and artificial intelligence. In this paper we implement how web usage mining techniques can be applied for the customization i.e. web visualization
You could be a professional graphic designer and still make mistakes. There is always the possibility of human error. On the other hand if you’re not a designer, the chances of making some common graphic design mistakes are even higher. Because you don’t know what you don’t know. That’s where this blog comes in. To make your job easier and help you create better designs, we have put together a list of common graphic design mistakes that you need to avoid.
Hello everyone! I am thrilled to present my latest portfolio on LinkedIn, marking the culmination of my architectural journey thus far. Over the span of five years, I've been fortunate to acquire a wealth of knowledge under the guidance of esteemed professors and industry mentors. From rigorous academic pursuits to practical engagements, each experience has contributed to my growth and refinement as an architecture student. This portfolio not only showcases my projects but also underscores my attention to detail and to innovative architecture as a profession.
Between Filth and Fortune- Urban Cattle Foraging Realities by Devi S Nair, An...Mansi Shah
This study examines cattle rearing in urban and rural settings, focusing on milk production and consumption. By exploring a case in Ahmedabad, it highlights the challenges and processes in dairy farming across different environments, emphasising the need for sustainable practices and the essential role of milk in daily consumption.
White wonder, Work developed by Eva TschoppMansi Shah
White Wonder by Eva Tschopp
A tale about our culture around the use of fertilizers and pesticides visiting small farms around Ahmedabad in Matar and Shilaj.
Book Formatting: Quality Control Checks for DesignersConfidence Ago
This presentation was made to help designers who work in publishing houses or format books for printing ensure quality.
Quality control is vital to every industry. This is why every department in a company need create a method they use in ensuring quality. This, perhaps, will not only improve the quality of products and bring errors to the barest minimum, but take it to a near perfect finish.
It is beyond a moot point that a good book will somewhat be judged by its cover, but the content of the book remains king. No matter how beautiful the cover, if the quality of writing or presentation is off, that will be a reason for readers not to come back to the book or recommend it.
So, this presentation points designers to some important things that may be missed by an editor that they could eventually discover and call the attention of the editor.
Dive into the innovative world of smart garages with our insightful presentation, "Exploring the Future of Smart Garages." This comprehensive guide covers the latest advancements in garage technology, including automated systems, smart security features, energy efficiency solutions, and seamless integration with smart home ecosystems. Learn how these technologies are transforming traditional garages into high-tech, efficient spaces that enhance convenience, safety, and sustainability.
Ideal for homeowners, tech enthusiasts, and industry professionals, this presentation provides valuable insights into the trends, benefits, and future developments in smart garage technology. Stay ahead of the curve with our expert analysis and practical tips on implementing smart garage solutions.
1. A STUDY OF USER EXPERIENCE
OF PERSONALISED SERVICE FOR ENHANCING
THE RE-USE OF INFORMATION EXPERIENCE.
with Emphasis on a Mobile Web Service.
GOWOON JEONG 20120107 | LUNE102@NAVER.COM
SADI MDES EXPERIENCE DESIGN 05 AUG 2013
2. Contents
1. Introduction
1.1. Background and Aim
1.2. Aim and Method
1.2.1. Aim
1.2.2. Method
2. User Experience of Web Information
2.1. Digital Information Life Cycle Model
2.2. Web Information Life Cycle Model
3. Study
3.1. Framework of In-depth Interview
3.1.1. Purpose and Range of Study
3.1.2. Research Design
3.2. Analysis: Coding
4. Study Result
4.1. User Experience in Web Information Life Cycle
4.2. Key Values of Enhancing Web Information Use
5. UX Design for Personal Mobile Web Service
5.1. Purpose of Service and UX Concept
5.2. Information Architecture
5.3. UX Flow
00
3. WE NEED TO USE WEB INFORMATION
MORE EFFICIENTLY.
01. INTRODUCTION
1.1. Background
1.2. Aim and Method
1.2.1. Aim
1.2.2. Method
4. Over Flow Information
According to Eric Schmidt, the CEO of Google, there are only five exabyte of data had created until 2003 from starting the
civilization. However, for now, every second day the data is created as much as it has done before, five exabyte, and the speed is
faster and faster. His speech shows how rapid the information is created and piled up in modern days.
JEFF KELLY 2012, ‘BIG DATA MARKET SIZE AND VENDOR REVENUES’, WIKIBON
1. Introduction
1.1. Background
BACKGROUND
01
MEDIAS 2013, ‘THE AGE OF OVERBUNDUNT OF NEWS’
5. Information Obsession
Information becomes improvement, money and power for modern people. If we are turned over the trend, we are branded as an in
competent person and far from the success. This pressure causes the obsession about the information. The information obsession
brings quantitative consumption than qualitative consumption about information. It is a symptoms of quantitative consumption
that accumulating random information, even if it is not necessary right now.
Social network service instigates this behaviour. The data produced in SNS are casual data, not in-depth data. People click 'like' and
do following without deep thought. However, the rate that gathered contents are actually used is low. There is no choice of using
contents got in past, because we have to consume new contents in‘big data stream environment’that new contents are created
constantly. Curation service, I mentioned above, helps this phenomenon to filter contents. However it even brings large amount of
contents and we need a service that users can more interfere in controlling contents they consume.
01
TIMEDIA 2012, ’ MARKETING SOLUTION IN BIG DATA AGE: CURATION MARKETING AND POWER CURATOR’
Lack of managing service of big data.
The rate that collected contents are actually used is low.
There is no choice of using contents got in the past, because we have to consume new
contents in‘Big data stream environment’that new contents are created constantly.
1. Introduction
1.1. Background
BACKGROUND
6. To design user experience of personalised mobile web service for enhancing the
efficient information use.
1. How is user experience in web information service now?
2. How can I enhance the web information re-using experience?
3. What are the key values of enhancing the information re-using experience?
4. How can I design UX of personalised web service for enhancing the information re-using experience?
1.2.1. AIM
RESEARCH QUESTIONS
01
1. Introduction
1.2. Aim and Method
7. To build a‘Web information life cycle model’based on current‘Digital information life cycle model’
1. To understand digital information life cycle model
2. To understand current PWE(personalised web environment) service.
3. To find how people use the information that they get in the web.
4. To find the elements for web information life cycle model.
To design user experience of personalised mobile web information service
1. To suggest how to enhance the experience of information re-use
For proposing new‘Web information life cycle model’, this study uses grounded theory. Through the grounded theory, existing
‘Digital information life cycle mode’is comprehended and employed to analyse current web information services and user
experience. This study progressed in-depth interview and coding the interviews to create new model for suggesting personalised
mobile web environment service for enhancing the information re-use.
GROUNDED THEORY
RESEARCH OBJECTS
01
1. Introduction
1.2. Aim and Method
1.2.2. METHOD
8. HOW IS USER EXPERIENCE IN WEB
INFORMATION SERVICES NOW?
02. User Experience of Web Information
2.1. Digital Information Life Cycle Model
2.2. Web Information Life Cycle Model
9. 2. User Experience of Web Information
2.1. Digital Information Life Cycle Model
DIGITAL INFORMATION LIFE CYCLE MODEL
It is the theory that will be a basis of new‘Web Information Life Cycle Model’, suggested at the end of the study. It is about a digital
information life cycle for explaining digital curation. Pennock argued this approach assists to manage and preserve usable digital
information.
This model is about‘digital information life cycle’
for explaining digital curation.
This model is designed by information
perspective, such as how information flows.
According to digital information life cycle model,
this report will suggest the‘web information life
cycle model’for designing improved web user
experience.
02
10. PROCESS (Kim, J. 2013, Trend Insight)
Collecting >> Managing > Analysing >> Editing > Viewing, Recreating >> Sharing
Collecting > Analysing >>Managing > Curating >> Sharing >>Creating
2. User Experience of Digital Information
2.2. Web Information Life Cycle Model
The other model is service model about digital curation by Kim, the
CEO of Cubbying curation services company. It is in the article,
‘Contents and Contents managing’(2013).
In comparison with digital information life cycle model, this model is designed by user
perspective, such as how users consume the web information.
This model will be a basis at the in-depth interview questionnaire for defining how to
enhance the information re-use experience.
02
WEB INFORMATION LIFE CYCLE MODEL
11. STUDY FOR ENHANCING THE
INFORMATION RE-USING EXPERIENCE.
03. Study
3.1. Framework of In-depth Interview
3.1.1. Purpose and Range of Study
3.1.2. Research Design
3.2. Analysis: Coding
12. 3. Study
3.1. Framework of In-Depth Interview
3.1.1. PURPOSE AND RANGE OF RESEARCH
Grounded Theory: In-Depth Interview
PURPOSE :
Designing‘Web Information Life Cycle Model’for enhancing web information re-use.
The purpose of this research is developing service and UX design to enhance the usage of mobile web information through the in-
depth interview about user experience of web information. In order to that, this research is required to build a new‘web information
life cycle model‘ based on current model about digital information. According to the model, this research will propose elements for
efficient information use.
RANGE :
This research focus on the stage of collecting, managing and using among the all process of digital information use.
The‘Web Information Life Cycle Model’is used during the research.
The service will be proposed is Personalised Web Environment for mobile field, however in this study, both user experiences in
mobile and PC are researched and try to find each benefits and pain points.
03
13. POWER BLOGGER (2) MIDDLE USER (3)
JiWoon Im
Age 26
Blog Contents IT Device Review
Service Tistory Blog
HuynHee Kim
Age 26
Blog Contents Beauty, Restaurant Review
Service NAVER Blog
NORMAL USER (6)
YouSun Ji
Age 26
Blog Contents Accessary, Restaurant Review
Service NAVER Blog
JaeMin Lee
Age 36
Blog Contents Interests, Portfolio
Service Google Blog
Inu Kim
Age 32
Blog Contents Travel, Interests
Service Tistory Blog
YooNyee Pahk
Age 26
DaYoon Byun
Age 27
HaeSun Jung
Age 28
YuRi Hong
Age 29
YoungEun Chae
Age 27
BoKyung An
Age 26
3.1.2. RESEARCH DESIGN
RECRUITING
In-depth interview was progressed for three different groups, power blogger, middle user and normal user classified by usage of
web information. Tow Power bloggers who are expert users, 3 Middle users who have blog but the usage is low and six normal users
are attended to in-depth interview.
03
3. Study
3.1. Framework of In-Depth Interview
14. WEB INFORMATION LIFE CYCLE
Collecting > Analysing >> Managing > Curating >> Sharing >> Creating
Questionnaire is constructed by three stage of web information use experience, collecting, managing and re-using. Among these
stages, this in-depth interview focused on the managing stage that is considered the most effective one to information re-using.
Moreover, two categories, contents of post and type of blog are added for understanding the tendency of power bloggers.
COLLECTING
1.Device of Gathering
2.Channel of Gathering Data
3.Method of Gathering Data
4.Service or Programme for Gathering
5.Space of Saving
6.Period of Gathering
POWER BLOGGER
Contents of Post
Type of Blog
MANAGING
1.Device of Managing
2.Method of Classification
(by kinds of contents)
3.Service or Programme for
Managing(Analysing)
4.Period of Managing
RE-USING
(Editing > Reviewing, Recreating, Sharing)
1.Device of Editing(by kinds of contents)
2.Purpose of Editing
3.Service or Programme for Editing,
Reviewing, Recreating and Sharing
4.Period of Editing
PAIN POINT of
Classification(by kinds of contents)
Reusing(Editing, Reviewing, Recreating and Sharing
QUESTIONNAIRE
03
3.1.2. RESEARCH DESIGN
3. Study
3.1. Framework of In-Depth Interview
15. Coding is processed with three steps as below.
3. Study
3.2. Analysis: Coding
Open Coding: To draw a significant common and repeated sentences from user’s words in in-depth interview scripts.
Axial Coding: To understand the relationship among sentences and words from open coding and build key concepts.
Selected Coding: To create table using key concepts from axial coding for building a model of‘Web Information Life Cycle’.
PROCESS OF CODING
PURPOSE OF EACH CODING
OPEN
CODING
AXIAL
CODING
SELECTIVE
CODING
Common, Repeated
sentences and phrases
Relationship among
sentences and phrases
Create New Model
03
16. OPEN CODING
From the user’s words in in-depth interview, common and repeated words are drawn out. First, words are chosen in order of
importance by researcher, than visualised and sorted out through the programme. The more words are repeated, the bigger words
become.
03
3. Study
3.2. Analysis: Coding
17. At this stage, this report tried to find out the common sentence and phrase
from the interview scripts and grouped them by related ones. After that,
there are five groups of valuable keywords and phrase.
AXIAL CODING
Key Concepts Discovered
1. Kinds of Information
Everyday Life Information
Specialised Information
Interested Information
2. Process of Use
Collecting > Managing > Using
3. Collecting Methods and Tools
Bookmarking, Capturing, Other Programme
Mobile, PC, Web Cloud
4. Time to Use
Immediately, Short-term, Long-term
5. Type of Re-using
Reviewing, Sharing, Recreating
03
3. Study
3.2. Analysis: Coding
19. SELECTIVE CODING
Findings
01. Everyday Life Information
These kinds of information are used(viewing,
sharing) in a comparatively short time after
collecting. These are not classified, because
mostly not significant information. However, for
quick access and use, collecting method is
simple(capturing images) and has spread UI.
02. Specialised Information
These kinds of information are used immediately
when users create contents collecting them.
Therefore, users do collecting, managing and
using at the same time. The biggest difference is
no matter what kinds of format are, content is
managed by subject at one file.
03. Time to Use & Frequency of Re-use
The more information is used immediately, the
better managed and re-used it become.
01 02
03
Result
According to the time to information is use, the frequency of use is different.
The shorter time information is used, the higher usage it become.
The efficient use of information means that it used frequently and if time to
use the information is shorter, users are able to use information more often
and easier to access them.
03
3. Study
3.2. Analysis: Coding
20. A"er
the
selec+ve
coding,
three
keywords
about
informa+on
use
process;
collec+ng,
managing
and
using
are
drawn.
Than,
new
'Web
informa+on
life
cycle
model'
is
designed
using
these
keywords.
SELECTIVE CODING
Life cycle of web information use
03
3. Study
3.2. Analysis: Coding
21. KEY VALUES OF ENHANCING THE
INFORMATION RE-USING EXPERIENCE.
04. Study Result
4.1. User Experience in Web Information Life Cycle
4.2. Key Values of Enhancing Web Information Use
22. 4. Study Result
4.1. User Experience in Web Information Life Cycle
WEB INFORMATION LIFE CYCLE MODEL
If a cycle of information use becomes
short, the information will be used more
frequently.
Especially, to shorten the section
between collecting and using is
important.
Therefore, if the service that supports to manage information as soon as collecting is
provided, the rate of information re-use will be higher.
04
23. 4. Study Result
4.2. Key Values of Enhancing Information Use
PROPOSAL OF INFORMATION LIFE CYCLE REDUCTION
04
In this model, three proposal of
information life cycle reduction are
drawn as below.
01 Collecting and managing at
the same time
02 Connection with existing
information
03 Managing information at one
place
Furthermore, mobile has a potential
that adds user’s context to information
and it assists users to access
information frequently and easily.
Therefore, this report focuses more on
mobile environment.
24. UX DESIGN
Collecting and Managing
at the Same Time
04
Pop-up Window to Tag > Add meta data > Link with PWE
Tagging the category at the information when it is been collecting. This managing process
supports the information is classified with kinds of information; everyday life, specialised
and interested. When users want to use the information, they are able to access well
organised one quickly and easily.
4. Study Result
4.2. Key Values of Enhancing Information Use
25. UX DESIGN
Connection with Existing
Information
04
Project Note
When managing the specialised information, this concept provide a space where variety
format of contents are at one project note. Users can add new information to existing one
are related with new one. At specialised category in Mobile PWE Service, users are able to
classify images, text and bookmarks with same subject.
4. Study Result
4.2. Key Values of Enhancing Information Use
26. SERVICE
Managing Information
At One Place.
04
Mobile PWE(Personalised Web Environment) Service
If all information that users collect from the web are at one place, users do not need to
look for the information all over the place. Current PWE service operated portal sites
provides only curated information created others. Therefore, service that user can collect
and manage their information is required.
4. Study Result
4.2. Key Values of Enhancing Information Use
27. DESIGNING UX OF PERSONALISED MOBILE
WEB SERVICE FOR ENHANCING THE RE-USE
OF INFORMATION EXPERIENCE.
05. UX Design for Personal Mobile Web Service
5.1. Purpose of Service and UX Concept
5.2. Information Architecture
5.3. UX Flow
28. PURPOSE OF SERVICE
To provide service to users are able to use web
information efficiently at mobile environment.
To improve current‘Personalised mobile web
service’for enhancing the re-use of information
experience.
5. UX Design for Personal Web Service
5.1. Purpose of Service and UX Concept
5.2. Information Architecture
UX CONCEPT
To reduce the life cycle of web information use.
> Collecting and managing at the same time
> Connection with existing information
05
INFORMATION ARCHITECTURE
29. COLLECTING AND MANAGING
01 Capture image
05
5. UX Design for Personal Web Service
5.3. UX Flow
02 Window is
popped up to tag
03 Select the
relevant category
01
02
03 GO TO
THE MOBILE
PWE SERVICE
30. MANAGING AND USING
05
5. UX Design for Personal Web Service
5.3. UX Flow
04
05
06
07
04 Home screen of
Mobile PWE
05 Tap the category
to manage more
06 Drag the content
to project note
07 Users can add contents
to relevant note