• Title/Summary/Keyword: User-customized design

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Optimizing User Experience While Interacting with IR Systems in Big Data Environments

  • Minsoo Park
    • International journal of advanced smart convergence
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    • v.12 no.4
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    • pp.104-110
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    • 2023
  • In the user-centered design paradigm, information systems are created entirely tailored to the users who will use them. When the functions of a complex system meet a simple user interface, users can use the system conveniently. While web personalization services are emerging as a major trend in portal services, portal companies are competing for a second service, such as introducing 'integrated communication platforms'. Until now, the role of the portal has been content and search, but this time, the goal is to create and provide the personalized services that users want through a single platform. Personalization service is a login-based cloud computing service. It has the characteristic of being able to enjoy the same experience at any time in any space with internet access. Personalized web services like this have the advantage of attracting highly loyal users, making them a new service trend that portal companies are paying attention to. Researchers spend a lot of time collecting research-related information by accessing multiple information sources. There is a need to automatically build interest information profiles for each researcher based on personal presentation materials (papers, research projects, patents). There is a need to provide an advanced customized information service that regularly provides the latest information matched with various information sources. Continuous modification and supplementation of each researcher's information profile of interest is the most important factor in increasing suitability when searching for information. As researchers' interest in unstructured information such as technology markets and research trends is gradually increasing from standardized academic information such as patents, it is necessary to expand information sources such as cutting-edge technology markets and research trends. Through this, it is possible to shorten the time required to search and obtain the latest information for research purposes. The interest information profile for each researcher that has already been established can be used in the future to determine the degree of relationship between researchers and to build a database. If this customized information service continues to be provided, it will be useful for research activities.

A Study on the User Perception in Fashion Design through Social Media Text-Mining (소셜미디어 텍스트마이닝을 통한 패션디자인 사용자 인식 조사)

  • An, Hyosun;Park, Minjung
    • Journal of the Korean Society of Clothing and Textiles
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    • v.41 no.6
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    • pp.1060-1070
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    • 2017
  • This study seeks methods to analyze users' perception in fashion designs shown in social media using textmining analysis methods. The research methods selected 'men's stripe shirts' as subjects and collected texts related to the subject mainly from blogs. Texts from 13,648 posts from November 1st, 2015 to October 31st, 2016 were analyzed by applying the LDA algorithm and content analysis. As a result, the wearing status per season and subjects of men's stripe shirts were derived. Across the entire period, the main topics discussed by users to be pattern, customized suits, brands, coordination and purchase information. In terms of seasons, spring time showed the sharing of information on coordinating daily looks or boyfriend looks, and during the winter season the information shared were about shirts suitable for special occasions such as job interviews and stripe shirts that match suits. The study results showed that text-mining analysis is capable of analyzing the context and provide a user-centered index responding to demands newly mentioned by users along with the rapid changes in fashion design trends.

Changes of muscle fatigue by force compensation using upper limb wearing exoskeleton system (상지부 착용 외골격시스템의 근력보상 정도에 따른 근피로도 변화에 대한 연구)

  • Kang, Hyun-Min;Park, Su-Kyung
    • Proceedings of the KSME Conference
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    • 2008.11a
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    • pp.1600-1602
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    • 2008
  • Various applications of exoskeleton system are reported in the area of military, healthcare, and industries. More the user gets help from exoskeleton system, more power is consumed. To resolve this design conflict, we suggest an energy efficient exoskeleton system which compensates muscle fatigue in isotonic and isometric contraction conditions. Fatigue compensated exoskeleton significantly reduced muscle fatigue while consumed less operation power. In addition, the level of fatigue compensation can be managed by motor control using various input profile. It can make user customized exoskeleton system.

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Design of User Level Analysis System for Customized User Education App (사용자 맞춤 교육용 APP 개발을 위한 사용자 수준 분석 시스템 설계)

  • Lee, Hyoun-Sup;Kang, Hyo-Woon;Kim, Jin-deog
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.10a
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    • pp.171-173
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    • 2012
  • 광범위한 스마트폰의 보급으로 인해 관련 APP 시장 또한 급격하게 증가하고 있다. 많은 APP이 개발되고 있지만 대부분 특정 분야에 집중되어 있으며 교육용 APP이 시장에서 차지하고 있는 비율은 극히 낮다. 시장 비율이 낮은 이유는 기존 출시된 대다수의 교육용 APP이 가지는 두 문제점 때문이다. 첫 번째는 동일 콘텐츠의 반복학습으로 인해 재사용 빈도가 많이 낮고 자기주도학습 능력을 이끌어 낼 수 없다는 점이며 두 번째는 문제 제공 및 정답 확인의 단순 구조로 되어 있어 사용자가 자신의 수준 및 취약 부분을 분석하기 힘들다는 점이다. 본 논문은 스마트폰 환경에서 앞서 언급한 두 가지 문제점을 해결하기 위해 시스템 구조 변경 없이 콘텐츠 변경이 가능하며 사용자의 수준을 파악할 수 있는 기능을 가진 사용자 맞춤 교육을 위한 교육용 앱 설계에 대하여 제안한다.

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Development and Usability Testing of a User-Centered 3D Virtual Liver Surgery Planning System

  • Yang, Xiaopeng;Yu, Hee Chul;Choi, Younggeun;Yang, Jae Do;Cho, Baik Hwan;You, Heecheon
    • Journal of the Ergonomics Society of Korea
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    • v.36 no.1
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    • pp.37-52
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    • 2017
  • Objective: The present study developed a user-centered 3D virtual liver surgery planning (VLSP) system called Dr. Liver to provide preoperative information for safe and rational surgery. Background: Preoperative 3D VLSP is needed for patients' safety in liver surgery. Existing systems either do not provide functions specialized for liver surgery planning or do not provide functions for cross-check of the accuracy of analysis results. Method: Use scenarios of Dr. Liver were developed through literature review, benchmarking, and interviews with surgeons. User interfaces of Dr. Liver with various user-friendly features (e.g., context-sensitive hotkey menu and 3D view navigation box) was designed. Novel image processing algorithms (e.g., hybrid semi-automatic algorithm for liver extraction and customized region growing algorithm for vessel extraction) were developed for accurate and efficient liver surgery planning. Usability problems of a preliminary version of Dr. Liver were identified by surgeons and system developers and then design changes were made to resolve the identified usability problems. Results: A usability testing showed that the revised version of Dr. Liver achieved a high level of satisfaction ($6.1{\pm}0.8$ out of 7) and an acceptable time efficiency ($26.7{\pm}0.9 min$) in liver surgery planning. Conclusion: Involvement of usability testing in system development process from the beginning is useful to identify potential usability problems to improve for shortening system development period and cost. Application: The development and evaluation process of Dr. Liver in this study can be referred in designing a user-centered system.

Implementation of big web logs analyzer in estimating preferences for web contents (웹 컨텐츠 선호도 측정을 위한 대용량 웹로그 분석기 구현)

  • Choi, Eun Jung;Kim, Myuhng Joo
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.8 no.4
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    • pp.83-90
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    • 2012
  • With the rapid growth of internet infrastructure, World Wide Web is evolving recently into various services such as cloud computing, social network services. It simply go beyond the sharing of information. It started to provide new services such as E-business, remote control or management, providing virtual services, and recently it is evolving into new services such as cloud computing and social network services. These kinds of communications through World Wide Web have been interested in and have developed user-centric customized services rather than providing provider-centric informations. In these environments, it is very important to check and analyze the user requests to a website. Especially, estimating user preferences is most important. For these reasons, analyzing web logs is being done, however, it has limitations that the most of data to analyze are based on page unit statistics. Therefore, it is not enough to evaluate user preferences only by statistics of specific page. Because recent main contents of web page design are being made of media files such as image files, and of dynamic pages utilizing the techniques of CSS, Div, iFrame etc. In this paper, large log analyzer was designed and executed to analyze web server log to estimate web contents preferences of users. With mapreduce which is based on Hadoop, large logs were analyzed and web contents preferences of media files such as image files, sounds and videos were estimated.

An Adaptive Learning System based on Learner's Behavior Preferences (학습자 행위 선호도에 기반한 적응적 학습 시스템)

  • Kim, Yong-Se;Cha, Hyun-Jin;Park, Seon-Hee;Cho, Yun-Jung;Yoon, Tae-Bok;Jung, Young-Mo;Lee, Jee-Hyong
    • 한국HCI학회:학술대회논문집
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    • 2006.02a
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    • pp.519-525
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    • 2006
  • Advances in information and telecommunication technology increasingly reveal the potential of computer supported education. However, most computer supported learning systems until recently did not pay much attention to different characteristics of individual learners. Intelligent learning environments adaptive to learner's preferences and tasks are desired. Each learner has different preferences and needs, so it is very crucial to provide the different styles of learners with different learning environments that are more preferred and more efficient to them. This paper reports a study of the intelligent learning environment where the learner's preferences are diagnosed using learner models, and then user interfaces are customized in an adaptive manner to accommodate the preferences. In this research, the learning user interfaces were designed based on a learning-style model by Felder & Silverman, so that different learner preferences are revealed through user interactions with the system. Then, a learning style modeling is done from learner behavior patterns using Decision Tree and Neural Network approaches. In this way, an intelligent learning system adaptive to learning styles can be built. Further research efforts are being made to accommodate various other kinds of learner characteristics such as emotion and motivation as well as learning mastery in providing adaptive learning support.

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Implementation of Mobile Web Interface Design for Smart-Phone Users (스마트폰 사용자를 위한 모바일 웹 인터페이스 디자인 구현)

  • Oh, Hyoung-Yong
    • The Journal of the Korea Contents Association
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    • v.11 no.12
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    • pp.639-648
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    • 2011
  • Since the emergence of the smartphone and tablet PC whose wireless internet accessibility has improved, personal computing environment has shifted from PCs to mobile web based mobile devices, and therefore the use of information and the communication method have been changing rapidly. Under the circumstance, domestic universities have actively been establishing mobile websites for smartphone users. Such mobile websites, however, focused on diverse functions and a showy design rather than on usability or accessibility, and were developed simply for the purpose of public relations. For this reason, students are now faced with difficulties in using the websites. Therefore, this paper proposes a novel web interface with the consideration of usability and accessibility in order for users to easily use and assess proper information. The matters to be taken into account in developing a mobile website are an intuitive interface design, user experiences, a user customized interface and compliance with web standards.

Job Application Usability Assessment Study -Focused on Albamon and Albachunkuk- (구인 구직 애플리케이션 사용성 평가 연구 -알바몬과 알바천국을 중심으로-)

  • Jeong, Su-Hyun;Kim, Seung-In
    • Journal of Digital Convergence
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    • v.18 no.3
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    • pp.305-310
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    • 2020
  • Lately the increase of unemployment and freeters, the use of mobile applications for part-time jobs has been increasing. This study identifies the problems of mobile job applications and focuses on domestic applications: 'Albamon' and 'Albachunkuk'. By conducting surveys and in-depth interviews based on Peter Morville's Honeycomb model. The usability assessment, the proposed improvement results are as follows: First, unhealthy establishments and overlapping job blocking filters should be further strengthened. Second, a design to tailor to the 20s age group, who are the main user of the application, is needed. Third, a fully customized part-time job listing is needed for users on the application landing page. Fourth, the application requires verification procedures for the document preparation regarding work contracts and reporting of employers. This study hopes to add to the improvement of job-seeking application services in Korea.

Effects of Perceived Similarity between Consumers and Product Reviewers on Consumer Behaviors (상품후기 작성자에 대해 상품후기 독자가 느끼는 유사성이 상품후기 독자에게 미치는 영향)

  • Kim, Ji-Young;Suh, Eung-Kyo;Suh, Kil-Soo
    • Asia pacific journal of information systems
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    • v.18 no.3
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    • pp.67-90
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    • 2008
  • Prior to making choices among online products and services, consumers often search online product reviews written by other consumers. Online product reviews have great influences on consumer behavior because they are believed to be more reliable than information provided by sellers. However, ever-increasing lists of product reviews make it difficult for consumers to find the right information efficiently. A customized search mechanism is a method to provide personalized information which fits the user's requirements. This study examines effects of a customized search mechanism and perceived similarity between consumers and product reviewers on consumer behaviors. More specifically, we address the following research questions: (1) Can a customized search mechanism increase perceived similarity between product review authors and readers? (2) Are product reviews perceived as more credible when product reviews were written by the authors perceived similar to them? (3) Does credibility of product reviews have a positive impact on acceptance of product reviews? (4) Does acceptance of product reviews have an influence on purchase intention of the readers? To examine these research questions, a lab experiment with a between-subject factor (whether a customized search mechanism is provided or not) design was employed. In order to enhance mundane realism and increase generalizability of the findings, the experiment sites were built based on a real online store, cherrya.com (http://www.cherrya.com/). Sixty participants were drawn from a pool that consisted of undergraduate and graduate students in a large university. Participation was voluntary; all the participants received 5,000 won to encourage their motivation and involvement in the experiment tasks. In addition, 15 participants, who selected by a random draw, received 30,000 won to actually purchase the product that he or she decided to buy during the experiment. Of the 60 participants, 25 were male and 35 were female. In examining the homogeneity between the two groups, the results of t-tests revealed no significant difference in gender, age, academic years, online shopping experience, and Internet usage. To test our research model, we completed tests of the measurement models and the structural models using PLS Graph version 3.00. The analysis confirmed individual item reliability, internal consistency, and discriminant validity of measurements. The results show that participants feel more credible when product reviews were written by the authors perceived similar to them, credibility of product reviews have a positive impact on acceptance of product reviews, and acceptance of product reviews have an influence on purchase intention of the readers. However, a customized search mechanism did not increase perceived similarity between product review authors and readers. The results imply that there is an urgent need to develop a better customized search tool in order to increase perceived similarity between product review authors and readers.