• The Journal of the Korea Contents Association
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• v.13 no.2
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• pp.451-459
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• 2013

The purpose of this paper is to investigate the role of the internet based deviant behavior of smart phone during work hours on performance and the antecedents to deviant behavior mechanism. To do this, this paper proposes a theoretical model consisting of factors such as internet-based deviant behavior, work performance and intention, habit as it's influencing factors. It was analyzed via a survey of employees using smart phone at workplace. The results of this empirical study is summarized as followings. First, internet-based deviant behavior using smart phone has a negative effect on work performance. Second, intention and habit toward internet-based deviant behavior using smart phone are identified as the determinants of it's behavior. The findings have significant implications for the framework of internet-based deviant behavior using smart phone in the workplace.

• Journal of Digital Convergence
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• v.18 no.1
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• pp.321-332
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• 2020

The purpose of this study was to identify relationships among level of e-Health literacy, subjective health status and health-seeking behaviors. Subjects were 102 senior citizens who used the internet at least once in the last month and visited elderly community centers and welfare centers. Collected data were analyzed descriptive statistics, t-test, ANOVA, Pearson's Correlation Coefficient, and Multiple Regression using SPSS version 25.0. Fifty five percent of subjects responded the average weekly internet usage hours was 'less than 3 hours', The e-health literacy (r=.349, p<.001) and subjective health status (r=.466, p<.001) were positively correlated with health seeking behavior. Subjects' gender (β=.22, p=.012), type of disease (β=.23, p=.013) and subjective health status (β=.38, p<.001) had significant effects on health-seeking behaviors. The results suggest that the development of intervention programs to increase the level of e-Health literacy and subjective health status to improve of their health-seeking behaviors.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10b
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• pp.60-62
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• 2000

인터넷의 활성화로 많은 사람들이 인터넷을 이용하고 이에 따라 인터넷을 이용한 서비스도 홍수를 이루고 있다. 이에 따라 인터넷을 상업적 목적으로 사용하는 서비스도 증가하고 있다. 그러나 많은 인터넷 서비스들이 고객들에게 획일적이고 일률적인 서비스만을 제공한다. 각각의 고객에게 취향과 관심분야에 따른 차별화 된 서비스가 필요로 한다. 각 고객에게 1대 1로 차별화 된 service를 제공하기 위해서 먼저 각 고객을 구별하고 그 고객의 취향과 관심분야의 파악을 위해서 인터넷에서의 행동을 관찰한다. 또한 고객의 관리를 위해 고객을 필요에 따라 그룹화하고, 고객과 직접 접촉을 통해 고객 정보를 파악할 수도 있다. 파악된 고객 정보의 효율적 저장과 분석을 위해서 decision tree를 이용해 학습을 한다. 고객의 행동의 특성상 incremental한 학습 알고리즘을 사용하며 고객의 선호도를 이용한 decision tree를 이용한다. 학습된 결과를 이용해서 1대 1 서비스를 제공함으로써 고객에서 편리성을 제공하고 서비스에 대한 친밀감과 고객의 흥미를 유발할 수 있다.

• Journal of the Korean Society for Library and Information Science
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• v.33 no.3
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• pp.87-108
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• 1999

Information retrieval on World Wide Web is very different from the one in traditional environment. Since Internet user's searching behavior shows it's own special search characteristics, a study of user's specific characteristics is necessary to offer better services. Through analysis and examination of Internet user behaviors, we suggest guidelines of design for developing Internet -based information retrieval systems.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.05c
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• pp.1941-1944
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• 2003

인터넷이 생활의 한 부분이 되면서 인터넷 사용자가 급증함에 따라 각종 사이버 범죄의 발생 건수 역시 크게 증가하고 있다 이러한 각종 사이버 범죄에 대응함에 있어서 가장 심각한 문제 중의 하나는 해커가 어떤 기술을 이용하여, 어떠한 방식으로 해킹을 진행하는지에 대한 정보가 매우 부족하다는 것이다. 현재 해커들은 해킹에 성공하기 위해 고도의 해킹 기법과 새로운 취약점을 이용하고 있는 반면, 해킹 방지를 위해 사용되고 있는 보안 강화 시스템들은 새로운 방식을 이용하는 해킹 시도를 효율적으로 방어하지 못하고 있는 것이 현실이다. 이와 같은 문제점을 해결하기 위해 제안된 것이 해커의 행동 양식에 대한 정보를 얻기 위한 침입유도 시스템(Honeypot)이다. 그러나 기존의 침입유도 시스템은 해커의 행동 양식 파악에 전문적인 기술이 필요하여 실시간 정보분석이 용이하지 못했다. 이에 본 논문에서는 해커의 행동양식을 실시간으로 파악하고 분석하는 허니넷(Honeynet) 형태의 침입자 행동양식 파악 시스템(Honeypot)을 설계하고 개발하였다.

• Journal of the Korea Convergence Society
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• v.9 no.7
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• pp.337-346
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• 2018

The purpose of this study was to identify the characteristics and the attributes related to Internet use in patients with Internet addiction. This study is a descriptive secondary analysis study, at Internet addiction clinics used the data of 63 patients diagnosed with Internet addiction. Data were obtained from Internet addiction clinic Electronic Medical Records(EMR), there was included the Korean Internet addiction scale(K-scale), Beck Anxiety Inventory(BAI), Beck Depression Inventory(BDI), Barratt Impulsivity scale(BIS), Conners ADHD Rating Scale(CAARS), Lubben Social Network Scale(LSNS). K-scale had significantly correlations with Internet use time per day, anxiety, impulsivity, Attention deficit Hyperactivity Disorder(ADHD) symptom. In stepwise multiple regression, factors significantly affecting ADHD symptom (${\beta}=.37$), Internet use time per day(${\beta}=.29$), Impulsivity(${\beta}=.25$), which accounted for 44% of the variance. Results indicate that patients with Internet addiction had psychological difficulties and suggest that children with ADHD needed to intervention for appropriate internet use.

• Journal of Digital Contents Society
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• v.19 no.1
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• pp.93-102
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• 2018

This study aims to present policy implications by analyzing information security behavior factors of internet users. The research model, based on PMT and UTAUT2, consists of perceived threat, severity, social influence, self-efficacy, experience and habits, PC and privacy behaviors, security behaviors on new services and set demographic characteristics, use places of internet, use of paid products, and experiences of accident as moderate variables to analyze the effect on security behavior. The results showed that perceived severity, self-efficacy significantly influenced on experience and habits, and experience and habits and self-efficacy had a high influence on PC and privacy behavior. Also, PC and privacy behaviors have a high impact on security behavior of new services. Age, income, use of paid products, and experience of accidents have a moderating effects on security behaviors. The results of this study are expected to help policy decision making to improve the level of information security of internet users.

• Journal of Internet Computing and Services
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• v.11 no.1
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• pp.129-141
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• 2010

In this paper, we present a wearable intelligent device based on multi-sensor for monitoring human activity. In order to recognize multiple activities, we developed activity recognition algorithms utilizing an image sensor and a 3-axis accelerometer sensor. We proposed a grid?based optical flow method and used a SVM classifier to analyze data acquired from multi-sensor. We used the direction and the magnitude of motion vectors extracted from the image sensor. We computed the correlation between axes and the magnitude of the FFT with data extracted from the 3-axis accelerometer sensor. In the experimental results, we showed that the accuracy of activity recognition based on the only image sensor, the only 3-axis accelerometer sensor, and the proposed multi-sensor method was 55.57%, 89.97%, and 89.97% respectively.

• Journal of Internet Computing and Services
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• v.3 no.1
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• pp.11-16
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• 2002

Nowday, Cyber shopping mall increased market size. The Consumer Behavior chainged new trend. This study on the systematic access to establishment of the concept of cyber shopping mall as well as to problems to overall parts of EC service as well is required. The objectives of this study are that how service consumers perceive the quality of EC service, and that what effect the quality makes on their satisfaction and re-purchase intention. This means that the research enables a marketing manager to take the meaning of comparative weight among the components of EC service quality, and to provide very useful information to establish marketing strategies which are close to the consumers.

• Journal of Distribution Research
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• v.13 no.3
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• pp.27-54
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• 2008

This study explored the relationship between information search and purchasing behavior across in-home shopping channels to give multi-channel retailer an implication of multichannel customer management. We analyzed the relationship between consumer's information search and purchase behavior (choice, frequency, and expenditure) with a view to channel lock-in and cross-channel synergy. This study was carried out using survey data about in-home shopping behavior of housewives. Results of the study showed that (1) there was channel lock-in between information search and purchase behavior across in-home shopping channels, (2) catalog channel and the Internet channel were a alternative channels of TV home shopping channel and (3) catalog channel and the Internet channel were an complementary channels. This results can provide meaningful implication for multi-channel retailers.