• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.158-164
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• 2008

This study was conducted for raising the considering the dynamical context of mobile phone use environment in the mobile-phone research. For this I identified the characteristic of the mobile phone use. The first characteristic is that the mobile phone is the context sensitive device. Also, it reflects the user's life pattern because it is the very personal device. I defined the context of mobile phone use with the basis on this identification of those characteristics. I referenced the definition, 'situational context', defining the mobile phone use context. Also, I set up the research scope within the user task that is influential from the situational context, I named this kind of task as the 'contextual task'. I developed the Contextual Task Model in this study. I named the model as the 'ESR Model'. The reason that I developed this contextual task model is that this model can help novice designers and designers unfamiliar with an application domain understand the user behavior and user centered design. And also this model can be effective to communicate each other, I identified the user's contextual tasks three kinds of model. First, the Extend Model includes user tasks that related to extending from user physical working space to the virtual level. Second model is Synchronize Model, which includes issues that lesson the blocking when use several functions at a time or sequentially. Third model is Replace Model, which is come from the characteristic of user life pattern to use the mobile phone. Finally, I proposed an application of this model, CIQ. Through the process to make CIQ I proved the effectiveness of this ESR Model.

• Journal of Korea Multimedia Society
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• v.13 no.10
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• pp.1444-1452
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• 2010

There is very little information on mobile terminal service systems such as CRUMPET because the all the users have different situations and characteristic, and so it is also difficult to find correlations. Because of the difficulty of customizing and recommending information based on preference stemming from the users' various situations and characteristics, they usually provide limited, conceptual information. This paper will recommend a system that recommends information tailored to the user's situation and characteristics, using the Spearman correlation coefficients. It finds correlations from users' information and sequences information that is suitable to the user's situation and characteristics into a list, thereby solving the problem of limited, conceptual information. Performance tests have revealed when compared to existing service systems, this system is more effective in terms of precision and recall, with a 92.3% precision rate, and a 73.8% recall rate.

• Journal of the Korea Society of Computer and Information
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• v.13 no.5
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• pp.263-272
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• 2008

The proposed system can achieve more safety of RFID system with the 2-step authentication procedures for the enhancement about the security of general RFID systems. After it has authenticated RFID tag, additionally, the proposed system extract the characteristic information in the user image for acquisition of the additional authentication information of the user with the camera. In this paper, the system which was proposed more enforce the security of the automatic entrance and exit authentication system with the cognitive characters of RFID tag and the extracted characteristic information of the user image through the camera. The RFID system which use the active tag and reader with 2.4GHz bandwidth can recognize the tag of RFID in the various output manner. Additionally, when the RFID system have errors. the characteristic information of the user image is designed to replace the RFID system as it compare with the similarity of the color, outline and input image information which was recorded to the database previously. In the experimental result, the system can acquire more exact results as compared with the single authentication system when it using RFID tag and the information of color characteristics.

• Korean Journal of Social Welfare
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• v.56 no.4
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• pp.149-172
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• 2004

The main purpose of this study is to explore and understand the reality of culture of poverty that employees of emergent relief facilities recognize. For this purpose, it had been carried out questionnaire with employees of emergent relief facilities from November to December 2003. It was applied quantitative research method to this study. Major findings of the study are as follows: 1) the awareness of employees to facilities in which they work is positive, 2) but their awareness to service user is negative(the degree of individual characteristic, educational characteristic and economical characteristic of service user is generally negative, while the degree of familial characteristic is generally positive), 3) the awareness to relationship with service user is positive. The results of this study reveal possibility that the culture of poverty can be expanded under the poor and psychic rehabilitation programs should be reinforced.

• Journal of Korea Game Society
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• v.21 no.4
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• pp.25-42
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• 2021

This study investigated motivation factors of mods and their influence on user response to analyze IS Continuance. The data of 610 players of who used mods was analyzed by a Post Acceptance Model of IS Continuance, followed by empirical results. As a result of SEM, the motive factor was divided into the 'Media characteristic', 'Content characteristic', and 'Situational characteristic'. The motive factors significantly affected user response of 'Perceived Usefulness', 'Satisfaction', and 'IS Continuance'; each motivation factors have different influence and 'Content characteristic' significantly affected the IS Continuance.

• Journal of Korean Institute of Industrial Engineers
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• v.38 no.3
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• pp.173-181
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• 2012

The size and layout of user interface components need to be optimally designed in terms of reachability, visibility, clearance, and compatibility in order for efficient and effective use of products. The present study develops an ergonomic design method which optimizes the size and layout of user interface components using adaptive genetic algorithm. The developed design method determines a near-optimal design which maximizes the aggregated score of 4 ergonomic design criteria (reachability, visibility, clearance, and compatibility). The adaptive genetic algorithm used in the present study finds a near-optimum by automatically adjusting the key parameter (probability of mutation) of traditional genetic algorithm according to the characteristic of current solutions. Since the adaptive mechanism partially helps to overcome the local optimality problem, the probability of finding the near-optimum has been substantially improved. To evaluate the effectiveness of the developed design method, the present study applied it to the user interface design for a portable wireless communication radio.

• Journal of Digital Convergence
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• v.15 no.12
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• pp.239-253
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• 2017

This study investigates to investigate the factors that influence user resistance of mobile payment services. We suggested individual and technical characteristics of mobile payment services as factors influencing perceived risk and user resistance. In addition, we suggested negative security recognition as moderating variable. To test the proposed hypotheses, we collected 349 survey responses from the users of mobile payment services and conducted structural equation modeling with SmartPLS2.0. The results show that, first, negative social influence, risk aversion and distrust in existing services had an effect on the perceived risk. Second, the pace of change and vulnerability had an effect on the perceived risk. Third, perceived risk affected the user resistance while negative security recognition is related to the relationship between perceived risk and user resistance.

• International Commerce and Information Review
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• v.17 no.3
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• pp.29-57
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• 2015

The purpose of this study is to find the factors of Social Network Games of continuous game flow and addiction. This study analyzes the significant factors of the addiction of SNGs from three categories. It also seeks to find out what relation between continuous game flow and addiction in SNGs. The model consists of three categories (SNG characteristic, User characteristic, and Environmental characteristic). The research model was conducted through the structural equation modeling(SEM) approach, and tested using 374 questionnaires. The results indicated that SNG characteristic(accessibility, enjoyment, feedback), User characteristic(self-control), Environmental characteristic(social interaction, subjective norm) have a positive effect on continuous game flow. The findings also that continuous game flow plays a moderation role that affects addiction. Finally, we discussed the research results and offered relevant suggestions for schools, firms, and future studies

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.29
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• pp.89-119
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• 2006

The almost studies that is related to an e-Trade and an e-Marketplace only have been focused on the diffusion and acceptance since the innovation was adopted in markets. The existing studies failed to notice the resistance of innovation in the course of accepting innovation. The resistance of innovation, however, is not the contrary concept of acceptance, it is should be understood as a construct which can explain the course of the diffusion and acceptance. This study will be analysed as follows: First, nevertheless the resistance of users is important, it couldn't be presented systematically through acceptance of innovation, accordingly the concept of resistance of innovation will derive concept from review of literature researched on prior researches. Second, the factors which can be affected to the resistance of innovation of the main trade firms which use the e-Marketplace will draw. Third, we identify some of determinants that can affect to resistance of user by empirical study, also we investigate how participation can be affected by using a contingency variable. The independent variables used through researched review are the characteristic factors of trade e-Marketplace which was consisted of relative advantage, suitability and complexity, the characteristic factors of trade firms which was consisted of propensity of innovation and attitude, and the characteristic of service quality which was consisted of reliability and reaction. This research also examines the association between independent variables and the resistance of user(dependent variable) by using a variable on participation of user(moderator variable). The sample surveys for this study have been used 109, this study was analysed by the SPSS 12.0 of statistical tool. According to the proved hypothesis there are three important factors which affected the resistance of user. One factor was the relative advantage and complexity from the point of view on the trade firms characteristics of e-marketplace, another factor was the propensity of innovation from the point of view on the trade firms factors, the third factor was the reliance from the point of view on the service quality factors. The results also provided that relative advantage and suitability among the characteristics of e-Marketplace and the reliability among the service quality characteristics have moderated in the moderated regression which was tested the association independent variables and dependent variables while participation of user was using for contingency variable.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.2 no.3
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• pp.204-209
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• 2002

The interest of data mining in artificial intelligence with fuzzy logic has been increased. Data mining is a process of extracting desirable knowledge and interesting pattern ken large data set. Because of expansion of WWW, web data is more and more huge. Besides mining web contents and web structures, another important task for web mining is web usage mining which mines web log data to discover user access pattern. The goal of web usage mining in this paper is to find interesting user pattern in the web with user feedback. It is very important to find user's characteristic fer e-business environment. In Customer Relationship Management, recommending product and sending e-mail to user by extracted users characteristics are needed. Using our method, we extract user profile from the result of web usage mining. In this research, we concentrate on finding association rules and verify validity of them. The proposed procedure can integrate fuzzy set concept and association rule. Fuzzy association rule uses given server log file and performs several preprocessing tasks. Extracted transaction files are used to find rules by fuzzy web usage mining. To verify the validity of user's feedback, the web log data from our laboratory web server.