• 한국가구학회지
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• 제28권4호
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• pp.278-285
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• 2017

The meaning and context of objects has been changed in various ways depending on the times. Functionality of objects has been developed in various directions according to the point of view of the objects. Objects have been used as mediums to realize art in daily life, and to realize the relational forms. Based on this, it is confirmed that furniture can be an appropriate medium to articulate everyday life and to derive relational form. The 'furniture as a behavior' has the following characteristics. First, it functions to make daily life unfamiliar. By doing something unfamiliar in everyday life, users experience similar experiences as when they entered the surreal world of art museum. In this way, the possibility of everyday arts is acquired. Second, the mental and behavioral functions of furniture are continuously changed by interaction with the user. Behavior does not occur unconsciously, but involves changes in consciousness that the user intentionally does. Therefore, as the user's level of consciousness grows, personal experience changes, and the behavioral function of the household changes. The study of 'furniture as a behavior' is suggested as one approach to design furniture.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.1046-1048
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• 2003

Recently, various researches in respect of the positioning technologies using satellites and the other sensors have made location-based services (LBS) more common and accurate. Consequently, concern about position information has been increasing. However, since these positioning systems only focus on user's position, it is difficult to know the user's attitude or detailed behaviors at the specific position. It is worthy to study on how to acquire such human attitude or behavior, because those information is useful to know the context of the user. In this paper, the sensor unit consisting of three dimensional accelerometer was attached to human body, and autonomously measured the perpendicular acceleration of ordinary human behaviors including activity modes such as walking, running, and transportation mode using transportation such as a train, a bus, and an elevator. Subsequently, using the classified measurement results, the method to identify the human activity modes was proposed.

• 한국경영정보학회:학술대회논문집
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• 한국경영정보학회 2007년도 International Conference
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• pp.527-535
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• 2007

The number of SMEs taking up information systems such as Enterprise Resource Planning has been growing rapidly, and many of those organizations have stepped into the stage of ongoing use at this point. Thus, research which takes into account idiosyncratic nature of SME environment is more important than before. Through an empirical study using survey method, we tried to examine the importance of end user's feedback seeking behavior in SMEs and how environmental factors affecting such behavior reinforce and interact with the feedback seeking behavior itself. The result shows that end user's active role as a voluntary feedback seeker is important in utilizing information systems in accordance with the initial design intention in ongoing use environment. Furthermore, in order to facilitate such feedback seeking behavior in SME environment, it is essential that management's involvement and communicating to its employees the importance of effectively utilizing the information systems as well as the support of peer IT champ.

• Journal of Communications and Networks
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• 제17권2호
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• pp.126-132
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• 2015

In mobile computing research area, it is highly desirable to understand the characteristics of user movement so that the user friendly location aware services could be rendered effectively. Location based social networks (LBSNs) have flourished recently and are of great potential for movement behavior exploration and datadriven application design. While there have been some efforts on user check-in movement behavior in LBSNs, they lack comprehensive analysis of social influence on them. To this end, the social-spatial influence and social-temporal influence are analyzed synthetically in this paper based on the related information exposed in LBSNs. The check-in movement behaviors of users are found to be affected by their social friendships both from spatial and temporal dimensions. Furthermore, a probabilistic model of user mobile behavior is proposed, incorporating the comprehensive social influence model with extent personal preference model. The experimental results validate that our proposed model can improve prediction accuracy compared to the state-of-the-art social historical model considering temporal information (SHM+T), which mainly studies the temporal cyclic patterns and uses them to model user mobility, while being with affordable complexity.

• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2008년도 학술대회 2부
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• pp.460-464
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• 2008

제품의 사용자 인터페이스를 개선하고 최적화하기 위해서는 실제 사용자들이 그 제품을 어떻게 사용하는지에 대한 정확한 이해가 선행되어야 한다. 지금까지 사용자의 행동을 이해하기 위한 방법으로 주로 사용되어 온 면접이나 질문지는 사용자의 기억에 의존해야만 한다는 단점이 잇으며, 사용자에게 특정한 과제를 부여하고 행태를 관찰하거나 실험을 진행하는 usability test, 사용자의 실제 환경이 아닌 주어진 환경에서 실험자의 의도에 따라 정해진 과제를 수행해야 한다는 제약이 있다. 본 연구에서는 이러한 단점들을 보완하고 실제 사용 환경에서 자연스러운 사용자 행태를 추출하기 위하여 사용자의 사용 로그를 저장하고 분석하는 방법을 활용하였다. 연구 대상 폰을 사용하고 있는 실사용자들을 마켓 세그멘테이션에 따라 선발한 후, 로깅 소프트웨어를 이용하여 약 2 주간 사용한 휴대폰 로그 데이터를 수집하였다. 또한, 로그 분석이라는 방법이 실제 관찰을 포함하지 않았다는 점을 보완하기 위하여 사용자들에게 같은 기간 동안 시간대별 일기 형식의 기록을 하도록 요청하였고, 추후 간단한 면접을 실시하였다. 수집된 데이터를 분석하여 주요 기능의 사용 빈도 및 사용 행태를 추출해내고 사용자의 세그멘테이션을 재분류할 수 있었다. 또한, 이를 바탕으로 새로운 형태의 사용자 인터페이스의 방향 또한 도출해 낼 수 있었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권1호
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• pp.1-19
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• 2021

The graph-based tag recommendation algorithm FolkRank can effectively utilize the relationships between three entities, namely users, items and tags, and achieve better tag recommendation performance. However, FolkRank does not consider the internal relationships of user-user, item-item and tag-tag. This leads to the failure of FolkRank to effectively map the tagging behavior which contains user neighbors and item neighbors to a tripartite graph. For item-item relationships, we can dig out items that are very similar to the target item, even though the target item may not have a strong connection to these similar items in the user-item-tag graph of FolkRank. Hence this paper proposes an improved FolkRank algorithm named FolkRank++, which fully considers the user-user and item-item internal relationships in tag recommendation by adding the correlation information between users or items. Based on the traditional FolkRank algorithm, an initial weight is also given to target user and target item's neighbors to supply the user-user and item-item relationships. The above work is mainly completed from two aspects: (1) Finding items similar to target item according to the attribute information, and obtaining similar users of the target user according to the history behavior of the user tagging items. (2) Calculating the weighted degree of items and users to evaluate their importance, then assigning initial weights to similar items and users. Experimental results show that this method has better recommendation performance.

• 한국정보시스템학회지:정보시스템연구
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• 제28권2호
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• pp.93-107
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• 2019

Purpose The purpose of this study is to explain the mechanism of user behaviors in password reset context based on descriptive data from conducting interviews. Specifically, this study attempted to describe the process of changing password from the shadow work perspective. Design/methodology/approach This study has interviewed 8 participants who can freely use numerous online web-sites. This study also employed the grounded theory methodology to analyze interview manuscripts. After conducting analyzing the manuscripts, this study has extracted 46 codes in the coding steps and ultimately presented 8 categories by combining similar concepts from those codes. Findings According to the results, this study provides new viewpoints to explain unique user behavior in the password reset context by capturing the shadow work based on the results. This study further offers practical implications to numerous practitioners by finding various codes, which related to users' reaction and behavior.

• 식품보건융합연구
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• 제10권4호
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• pp.9-19
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• 2024

This qualitative study explores the impact of online food delivery platform attributes on customer satisfaction and repurchase intentions. Employing a phenomenological approach, we conducted in-depth interviews and focus group discussions with 15 participants to gain rich insights into user experiences. Thematic analysis revealed key factors influencing satisfaction and loyalty: service quality dimensions (efficiency, reliability, fulfillment, privacy), expectation disconfirmation, perceived usefulness and ease of use, multi-level customer value, relationship quality, electronic word-of-mouth, value co-creation, and phased loyalty formation. Our findings extend customer behavior theory in digital platforms, offering a comprehensive framework for understanding the complex mechanisms underlying user satisfaction and repurchase decisions. The study provides valuable implications for platform operators, highlighting the importance of exceeding customer expectations, enhancing user experience, building trust, leveraging user-generated content, and fostering co-creation processes. Methodologically, we demonstrate the efficacy of qualitative approaches in uncovering nuanced insights in digital service contexts. While acknowledging limitations in generalizability, this research establishes a solid foundation for future investigations into the rapidly evolving domain of online food delivery services. The integrated theoretical approach offers a robust model for analyzing customer behavior in emerging digital service environments, contributing significantly to both academic understanding and practical application in the field of digital service provision and platform management.

• 의료ㆍ복지 건축 : 한국의료복지건축학회 논문집
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• 제22권3호
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• pp.35-44
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• 2016

Purpose: This study is focus on investigation of user's spontaneous behavior in the public space of ward where chronic patients are hospitalized. Methods: The notion and necessity of social healing environment is analyzed by literature review. User's location and behaviour are investigated for analyzing behavior by visiting the six wards. Results: The result 1) Stay is main behavior of users. 2) The frequency of stay is high in the place where are planned as the dayroom, the program room and the balcony. 3) In the corridor, the users are staying around court and single side corridor. And the users who are staying in the ward planned middle corridor and double corridor are spreaded all over the corridor. As the result of the analysis of correlation between frequency of user for stay and area of public space, 4) The area of the dayroom, the program room and the balcony is bigger, the frequency of users are higher. 5) There is no correlation between area of corridor and frequency of users. 6) When the density of user is highest in the place for stay, one person occupied $1.96m^2$. Implications: Hereafter the public space, which social healing environment is considered, is planned, this study could suggest the directions of architectural planning about area.

• 정보보호학회논문지
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• 제26권6호
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• pp.1493-1504
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• 2016

인터넷을 통한 사이버 위협이 증대됨에 따라 개인정보 침해도 지속적으로 발생하고 있다. 악의적인 사용자들은 유출된 개인정보를 도용하여 정상 사용자처럼 해당 웹사이트를 접근하고 불법적인 행동을 할 수 있다. 본 논문에서는 이러한 불법 사용자의 접근을 실시간으로, 효과적으로 탐지하기 위해 정상 사용자의 웹사이트 평시 사용 패턴을 멤버십 분석(membership analysis)과 마르코프 체인 모델(markov chain model)을 기반으로 프로파일링 함으로써, 정상 사용자를 판별하는 방법을 제안한다. 아울러 이러한 프로파일에 시간적인 특성, 즉 시간 가중치(time weight)를 적용하여, 시간적으로 변하는 사용자의 행동을 사용자의 프로파일에 반영한다. 이에 따라 시간에 따른 사용자의 성향을 반영한 결과를 얻을 수 있다. 본 연구를 통해 생성한 사용자별 프로파일을 기반으로 개인정보를 도용한 악의적인 사용자를 적발할 수 있고, 정상적인 사용자이더라도 민감한 정보에 접근하는 것을 방지할 수 있다. 본 연구를 적용한 결과, 정상 사용자에 대해 96%의 높은 판별 정확도를 보여주었다.