• Title/Summary/Keyword: User Application Information

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A study on the three dimensional paper doll development with augmented reality technology (증강현실기술이 적용된 3D 인형놀이 개발에 대한 연구)

  • Kim, Tae-Eun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.9 no.3
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    • pp.297-302
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    • 2014
  • The AR(Augmented Reality) is the technique that make the fusion between real world and virtual object. The augmented object on real world can provide the visualization of digital information to user. Also, the real-time AR system makes the interaction between user and computers. Therefore, the immersion of user be increasing and help the information transfer to user with AR system. In this paper, we implement the AR system with the modeled VRML as a three-dimensional object using programming language. The application technique is proposed that augment the various virtual clothes to three-dimensional avatar. Moreover, we propose the novel interface by using marker that can be increase the immersion of user.

Comparative Analysis of Model-based User Interface Model (모델 기반의 사용자 인터페이스 모델 비교 분석)

  • Yu, So-Ra;Pyoun, Do-Kil;Kim, Sung-Han;Lee, Seung-Yun;Jung, Hoe-Kyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.10a
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    • pp.759-761
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    • 2011
  • Recently, there is study about interface for user convince. this users interface technology can apply to UI depend on user choice. For that, W3C study various technology which is N-screen service on different device, provide consistent service, and UI adjust service depends on user preference. Therefore, we need UI study based on this model and standard technology. In this paper, study UI technology based on basic model to develop UI for user's convenience. So it can be useful to apply next-generation Web applications and secure web-application measure plans.

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Factors Affecting User Intention towards Metaverse Shopping: An Application of the S-O-R model (메타버스 쇼핑 이용 의도에 영향을 미치는 요인에 관한 연구: S-O-R 모델을 기반으로)

  • Yuting Chen;Eunjin Kim
    • Journal of Intelligence and Information Systems
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    • v.29 no.2
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    • pp.303-321
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    • 2023
  • Metaverse shopping has emerged as a new phenomenon in social commerce. This study aims to investigate the user experience of metaverse stores shopping based on the S-O-R model. The results of the study show that telepresence, entertainment, personalized recommendation, and social interaction have significant positive effects on flow experience and satisfaction in metaverse shopping. Additionally, satisfaction and flow experience are shown to have significant positive effects on user intentions. This study provides valuable implications for the design and management of metaverse stores to improve user experience and increase user intention.

A Study on User Liking Based on Anthropomorphism of Virtual Humans:Focusing on Social Comparison Experience and Self-Improvement Motivation (가상인간의 의인화에 따른 이용자 호감도에 관한 연구: 사회비교 경험과 자기향상욕구를 중심으로)

  • Jeong, DongA;Kim, Hayeon;Lee, Sang Woo
    • The Journal of Information Systems
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    • v.32 no.4
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    • pp.163-188
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    • 2023
  • Purpose The study examines the impact of the level of anthropomorphism (both in appearance and behavior) of virtual humans on user liking. It investigates whether this relationship is mediated by social comparison experiences, with the moderated mediation effect of users' desire for self-improvement. Design/methodology/approach A between-groups experimental design was employed to examine the impact of different levels of appearance(low/mid/high) and behavior(low/high) anthropomorphism on user liking of virtual humans. The experiment was conducted in an online environment, and participants were randomly exposed to one of six stimuli, which were Instagram-like posts. Findings The results indicate that as virtual humans become more anthropomorphic, they have a positive impact on user liking. However, once the level of anthropomorphism in appearance reaches a certain point (mid vs high), there is no significant difference in user liking. Users who perceive virtual humans as highly anthropomorphic tend to engage in more social comparison experiences, which positively affects their liking for these virtual humans. Conversely, individuals with a high desire for self-improvement found that the positive effect of appearance anthropomorphism on liking through social comparison experiences was reduced. The study extends the application of social comparison theory by examining its impact on influencer marketing with virtual beings. It provides valuable insights for the formulation of influencer marketing strategies using virtual humans.

The study on the Proposals for Application to Information Technology in Field Construction (건설 현장의 정보기술 발전 방향에 관한 연구)

  • Kim Sung-Gun;Lee Ung-Kyun;Kang Kyung-In
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2005.05a
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    • pp.207-210
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    • 2005
  • Information Technology (IT) makes a great contribution towards improvement of productivity in construction industry. Because most of researches of construction industry's IT are focused on the whole field of the industry or development of information system, however, these have no regard for conditions in fields. Thus, this study proposes the requirements in order to improve the productivity and efficiency of field execution of construction industry. To achieve this aim, the surveys are conducted of the problems and conditions of IT application on site workers and managers. As a result, the followings are suggested: (1) user training should be exercised continuously, (2) infrastructure of IT constructed, (3) total management system of field execution developed, and (4) the development of IT system focused on fields. Therefore, this study provides meaningful proposal that can be set up basic direction toward IT investment and IT system development.

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Automatic Generator for Component-Based Web Database Applications (컴포넌트 기반 웹 데이터베이스 응용의 자동 생성기)

  • Eum, Doo-Hun;Ko, Min-Jeung;Kang, I-Zzy
    • The KIPS Transactions:PartD
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    • v.11D no.2
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    • pp.371-380
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    • 2004
  • E-commerce is in wide use with the rapid advance of internet technology. The main component of an e-commerce application is a Web-based database application. Currently, it takes a lot of time in developing Web applications since developers should write codes manually or semi-automatically for user interface forms and query processing of an application. Therefore, the productivity increase of Web-based database applications has been demanded. In this paper, we introduce a software tool, which we call the WebSiteGen2, that automatically generates the forms that we used as user interfaces and the EJB/JSP components that process the query made through the forms for an application that needs a new database or uses an existing database. The WebSiteGen2 thus increases the productivity, reusability, expandibility, and portability of an application by automatically generating a 3-tier application based on component technology. Moreover, one user interface form that are generated by the WebSiteGen2 provides information on an interested entity as well as information on all the directly or indirectly related entities with the interested one. In this paper, we explain the functionality and implementation of the WebSiteGen2 and then show the merits by comparing the WebSiteGen2 to the other commercial Web application generators.

Preference Element Changeable Recommender System based on Extended Collaborative Filtering (확장된 협업 필터링을 활용한 선호 요소 가변 추천 시스템)

  • Oh, Jung-Min;Moon, Nam-Mee
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.47 no.4
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    • pp.18-24
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    • 2010
  • Mobile devices wide spread among users after the release of Apple's iPhone, especially in Korea. Mobile device has their own advantages in terms of weight, size, mobility and so on. But, on the contrary, mobile device has to provide more accurate and personalized information because of a small screen and a limited function of information retrieval. This paper presents a user"s preference element changeable recommender system by employing extended collaborative filtering as a technique to provide useful information in a mobile environment. Proposed system reflects user's similar groups by simultaneously considering users' information with preferences and demographic characteristics. Then we construct list of recommenders by user's choice. Finally, we show the implementation of a prototype based on iPhone.

Design and Implementation of The Vehicle Tracking Applications using Geospatial Query (공간 정보 질의를 이용한 차량 추적 애플리케이션의 설계 및 구현)

  • Ilham, Anugrah Moch;Jung, Jin-uk;Jin, Kyo-Hong;Hwang, Min-Tae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.6
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    • pp.637-644
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    • 2019
  • In recent years, many public safety systems in the smart city are developed. These systems are taking responsibility to make a safe and comfortable city. In this paper, we propose vehicle tracking systems include a public safety system that enables the policeman to track the stolen vehicles more efficiently by providing the vehicle information in real time. When a vehicle is stolen, the vehicle owner can send a user emergency request. Then, the public safety server which supported by a geospatial query technique will give information such as time, distance, and routes to a policeman who is closest to the location of the vehicle to catch the thief. 300 simulations were performed to evaluate the performance of the system. We found that the average of times required when vehicle owner send a user emergency message on user application until policeman obtain a vehicle tracking request on police application below 1.2 seconds.

An intelligent system for automatic data extraction in E-Commerce Applications

  • Cardenosa, Jesus;Iraola, Luis;Tovar, Edmundo
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2001.01a
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    • pp.202-208
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    • 2001
  • One of the most frequent uses of Internet is data gathering. Data can be about many themes but perhaps one of the most demanded fields is the tourist information. Normally, databases that support these systems are maintained manually. However, there is other approach, that is, to extract data automatically, for instance, from textual public information existing in the Web. This approach consists of extracting data from textual sources(public or not) and to serve them totally or partially to the user in the form that he/she wants. The obtained data can maintain automatically databases that support different systems as WAP mobile telephones, or commercial systems accessed by Natural Language Interfaces and others. This process has three main actors. The first is the information itself that is present in a particular context. The second is the information supplier (extracting data from the existing information) and the third is the user or information searcher. This added value chain reuse and give value to existing data even in the case that these data were not tough for the last use by the use of the described technology. The main advantage of this approach is that it makes independent the information source from the information user. This means that the original information belongs to a particular context, not necessarily the context of the user. This paper will describe the application based on this approach developed by the authors in the FLEX EXPRIT IV n$^{\circ}$EP29158 in the Work-package "Knowledge Extraction & Data mining"where the information captured from digital newspapers is extracted and reused in tourist information context.

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Personalized EPG Application using Automatic User Preference Learning Method (사용자 선호도 자동 학습 방법을 이용한 개인용 전자 프로그램 가이드 어플리케이션 개발)

  • Lim Jeongyeon;Jeong Hyun;Kim Munchurl;Kang Sanggil;Kang Kyeongok
    • Journal of Broadcast Engineering
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    • v.9 no.4 s.25
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    • pp.305-321
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    • 2004
  • With the advent of the digital broadcasting, the audiences can access a large number of TV programs and their information through the multiple channels on various media devices. The access to a large number of TV programs can support a user for many chances with which he/she can sort and select the best one of them. However, the information overload on the user inevitably requires much effort with a lot of patience for finding his/her favorite programs. Therefore, it is useful to provide the persona1ized broadcasting service which assists the user to automatically find his/her favorite programs. As the growing requirements of the TV personalization, we introduce our automatic user preference learning algorithm which 1) analyzes a user's usage history on TV program contents: 2) extracts the user's watching pattern depending on a specific time and day and shows our automatic TV program recommendation system using MPEG-7 MDS (Multimedia Description Scheme: ISO/IEC 15938-5) and 3) automatically calculates the user's preference. For our experimental results, we have used TV audiences' watching history with the ages, genders and viewing times obtained from AC Nielson Korea. From our experimental results, we observed that our proposed algorithm of the automatic user preference learning algorithm based on the Bayesian network can effectively learn the user's preferences accordingly during the course of TV watching periods.