• 한국실내디자인학회논문집
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• 제15권2호
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• pp.99-107
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• 2006

People with visual impairments are difficult to go to education facility by themselves, because of their limited visual ability, orientation, and usability field, so they prefer dormitories. Those dormitories playa role in living space, education, communication and culture function. Therefore those facilities planned more user centered design, since they are influenced by user actability and their values. User centered designs that match between the user and space are understood as well as their characteristics and behavior. Especially for understanding their activity, observation is conducted about their behavior in dormitories. Thus the purpose of this study is suggested to be a basic source that planning about residential facility for people with visual impairments through interview and observation investigation by analysis that they resident in space motion and performance.

• 한국문헌정보학회지
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• 제37권4호
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• pp.295-310
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• 2003

본 연구는 1991년부터 2003년까지 이용자연구 논문의 내용분석을 통하여 우리나라 이용자연구의 연구 방법과 연구동향을 제시한 것이다. 분석자료는 연구의 주제, 연구방법, 자료수집방법, 자료분석방법, 가설설정 등을 조사하였다. 이용자연구논문의 경우 1991∼2003년 가을까지 발표된 논문의 연 평균은 12.8편으로 나타났다. 연도별 발표량은 200l년이 24 편으로 가장 많고, 주제별 발표논문 현황은 정보이용행태, 이용자연구, 이용자 인터페이스, 도서관 및 정보이용교육, 온라인 목록 이용행태의 순으로 연구되었다. 연구방법은 문헌연구, 서베이 연구, 사례연구의 순서로 이루어지고 있으며, 자료 분석방법은 주로 기술통계를 사용하고 이용자연구자들은 카이자승(28.0%), 상관관계(22.7%), T-검증(17.35), 분산 분석(14.7%), 다변량분석(4.0%) 등을 사용하며, 연구자의 약 17%가 가설을 설정하고 있다.

• Asia pacific journal of information systems
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• 제11권2호
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• pp.23-55
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• 2001

It is generally agreed that realizing the full potential of the internet shopping mall(ISM) requires careful identification of customer needs and expectations. However, a quantitative framework to explain and predict users' behavior toward ISM has not been well established because the research on the user acceptance of ISM is still in its infancy. This study proposes a model which uses factor analysis to identify factors of ISM characteristics and individual characteristics affecting user acceptance of ISM. Predictive models based on the multiple regression analyses select the factors and their interactions with individual characteristics that significantly influence user acceptance. Results show that five factors including economy, convenience, credibility, reliability, information risks, and performance risks affects user acceptance. In addition, individual differences in terms of innovativeness, playfulness, and recreational shopping traits have both direct and interaction effects on user acceptance. The implication of this study is that, although user attitudes towards ISM characteristics in general are important to their acceptance behavior, the level of importance depends upon different user groups.

• 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.

• 한국정보시스템학회지:정보시스템연구
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• 제21권4호
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• pp.1-29
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• 2012

The purpose of this study was to find about personal information security of internet and social networks by focusing on end users. User competence and subjective criterion, which are the antecedents, are affecting security behaviors For these security behaviors, the study examined the relationship between security behavior intention on internet use and security behavior intention about social network that is actively achieved in many fields. Behaviors of internet and social network were classified into an action of executing security and an action of using a security technology. In addition, this study investigated a theory about motivational factors of personal intention on a certain behavior based on theory of reasoned action in order to achieve the purpose of this study. A survey was conducted on 224 general individual users through online and offline, and the collected data was analyzed with SPSS 12.0 and SmartPLS 2.0 to verify demographic characteristics of respondents, exploratory factor analysis, and suitability of a study model. Interesting results were shown that security behavior intention of social network is not significant in all security behavior execution, which is security performance behavior, and security technology use. Internet security behavior is significant to security technology use but it does not have an effect on behavior execution.

• 유통과학연구
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• 제20권11호
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• pp.99-108
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• 2022

Purpose: The wide distribution of smartphones has changed life and user behavior. This phenomenon has both advantages and disadvantages for users. As smartphones become a part of our daily lives, smartphone addiction has recently become a social issue in many countries. This study explores factors that affect smartphone addiction and the consequences of addictive behaviors. Research design, data and methodology: Our model hypothesizes that four key factors determine addictive behavior: flow, enjoyment, preference for online social life, and escape reality. Commitment and compulsive use are mediating variables that connect key drivers and addictive results. Based on the SEM (structural equation model) analysis of 497 survey responses, these four driving factors each have a significant effect on the compulsive use of smartphones directly or indirectly; the compulsive use of smartphones directly influences the three results Results: We conducted a reliability and validity analysis, and the results were successful. In the hypothesis test, every path is accepted as expected at the significance level of 0.05. Conclusions: Among the four driving factors, escape reality is the vital factor influencing smartphone addiction and its consequences. And anxiety is the number one consequence influenced by the compulsive use of smartphones.

• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2008년도 학술대회 2부
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• pp.173-178
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• 2008

최근 휴대폰 디스플레이의 대형화가 요구되면서 터치스크린 휴대폰의 출시가 늘어나고 있다. 본 연구에서는 터치스크린을 채용한 휴대폰 분석을 통하여 사용자가 터치 스크린 휴대폰을 사용할 때의 입력 방식에 대해 6가지로 분류하였다. 입력 방식에 따른 지문 측정 평가를 통하여 사용자 행태를 관찰하고 입력 방식에 대한 인터랙션 스타일의 시각적 피드백에 대해 연구하고자 한다.

• 한국실내디자인학회논문집
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• 제13권6호
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• pp.48-56
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• 2004

The Affordance, discussed in the theory of ecological perception of environmental psychology, is the concept of perception that deals with inter-relationship between environment and human. It is a theory seeking for gradual evolution, with the change of user experience behavior and the space, by getting feed-backs from the analysis of perception of characteristics of 3-dimensional space and the user as moving entity. Although there has been many attempts to define the Affordance and apply its concept to the architecture, now there's a need to identify the Affordance in the real architectural space, represent Affordance of space and the user inter-relationship in the architecture and apply its design specifically, Thus, the purpose of this study is to present the methodology of applying Affordance in architectural space design by identifying the Affordance of space concept of human experience behavior in the architectural space and analyze its recognition process.

• 한국문헌정보학회지
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• 제33권3호
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• pp.87-108
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• 1999

새로운 정보검색 환경인 인터넷에서의 정보검색은 과거의 정보검색행위와는 여러 면에서 다르다. 인터넷 이용자들은 과거의 정보 이용자와는 다른 행동 양식을 보이고 있기 때문에 보다 나은 서비스를 제공하기 위해서 인터넷 검색 시스템은 새로운 이용자들의 특성을 제대로 반영하여야 한다. 정보 수요자인 인터넷 이용자들의 검색 행동 성향을 조사, 분석하는 과정을 통해 이용자들의 요구사항을 파악하고, 이를 통하여 인터넷 기반 정보검색시스템 설계를 위한 가이드라인을 제시하고자 한다.

• Journal of Information Science Theory and Practice
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• 제2권2호
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• pp.33-47
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• 2014

Mobile devices are the most important equipment for accessing various kinds of services. These services are accessed using wireless signals, the same used for mobile calls. Today mobile services provide a fast and excellent way to access all kinds of information via mobile phones. Mobile service providers are interested to know the access behavior pattern of the users from different locations at different timings. In this paper, we have introduced an associated tree for analyzing user behavior patterns while moving from one location to another. We have used four different parameters, namely user, location, dwell time, and services. These parameters provide stronger frequent accessing patterns by matching joins. These generated patterns are valuable for improving web services, recommending new services, and predicting useful services for individuals or groups of users. In addition, an experimental evaluation has been conducted on simulated data. Finally, performance of the proposed approach has been measured in terms of efficiency and scalability. The proposed approach produces excellent results.