• The Journal of the Korea Contents Association
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• v.17 no.3
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• pp.238-252
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• 2017

In the digital media environment, individuals' information behavior about donation has been more interactive than ever. This study tried to figure out which factors impact communicative actions, based on the situational theory of problem solving(STOPS) in the donation situation for children with a rare incurable disease. This study tried to figure out the instrumental role of communicative action in donation situation. The findings from the survey(N=524) revealed that problem recognition and involvement recognition have a positive influence on a situational motivation, while constraint recognition had a negative influence. A referent criterion and a situational motivation have a positive influence on communicative actions. Also, a perceived moral obligation and a anticipated guilt have additional explanation of situational motivation for children with a rare incurable disease.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.465-475
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• 2020

The purpose of this study was to investigate how the attributes of YouTube BJs, specifically those dealing in e-sports content, affects information usefulness, information search satisfaction, and behavioral intention. To achieve this purpose, data from 229 students collected by convenient sampling of college students were used for final analysis, and analyzed using SPSS 23.0 and AMOS 23.0 programs. The results of the study are as follows: First, the friendliness of the BJ had a significant positive (+) effect on the information usefulness, the information search satisfaction, and the behavioral intention. Second, it was found that the reliability of the BJ did not significantly affect the information usefulness, the information search satisfaction, and the behavioral intention. Third, the information usefulness had no significant effect on behavioral intention, but Information search satisfaction was found to have a significant positive (+) effect on behavioral intention. Therefore, the results of this study are expected to contribute to establishing a strategy for e-sports content production based on the attributes of BJs.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.233-236
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• 2013

A Meta-analysis is a statistical literature synthesis method that provides the opportunity to view the research context by combining and analyzing the quantitative results of many empirical studies. The theory of planned behavior (TPB) has been the subjects of a great deal fields and now also has been continuously studied. Recently, the information communication and information systems fields are the biggest issue. At this point, we conducted a Meta-analysis research on the behavioral intention of information technology based on The theory of planned behavior. This study was targeted a total of 36 research papers that are setting up the causal relationship in The theory of planned behavior among the research papers published in domestic academic journals before 2013. The result of the Meta-analysis, showed that the effect size was 0.571 in the path from attitude toward behavior to behavioral Intention, it showed that the effect size was 0.381 in the path from subjective norm to behavioral Intention. And, it showed that the effect size was 0.481 in the path from perceived behavioral control to behavioral Intention. Also, it showed that the effect size was 0.421 in the path from behavioral Intention to behavior. Based on the results, it was discussed the difference through comparative analysis with previous research.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.4
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• pp.811-819
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• 2017

A behavior pattern analysis algorithm based on descriptors consists of information of a moving object and temporal histogram is proposed. Background learning is performed first for detecting, tracking and analyzing moving objects. Each object is identified using an association of the center of gravity of objects and tracked individually. A temporal histogram represents a motion pattern using positions of the center of gravity and time stamp of objects. The characteristic and behavior of objects are figured out by comparing each coordinates of a position history in the histogram. Behavior information which is comprised with numbers of a start and end frame, and coordinates of positions of objects is stored and managed in the linked list. Descriptors are made with the stored information and the video retrieval algorithm is designed. We confirmed the higher retrieval accuracy compare with conventional methods.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.3
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• pp.735-744
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• 2016

Recently, personal information leakage incidents with increased usage of mobile services are increasing. Personal information leakage incidents can have a significant impact on an individual's mobile banking services. Accordingly, we examine relationships among individual's psychological characteristics, intention and behavior regarding compliance in an individual's perception on personal information leakage incidents in mobile banking contexts. In this study, for explaining our research model and understanding with personal psychology and behavior in mobile banking contexts, we adopted two theories, theory of interpersonal behavior and stimulus-response theory. We collected the 55 data using online surveyor and then analyzed structural equation model in order to find causal relationships among research variables. The results of this study should be useful to the mobile banking services companies in promoting service users to follow the information privacy policies.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.05a
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• pp.401-404
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• 2020

현재 전자상거래에서 사용되는 협업 필터링은 고객이 입력한 평점 정보를 이용하여 추천 시스템을 구축한다. 하지만 기존의 평점 정보는 고객이 직접 입력해야 하므로 데이터 희소생의 문제가 있고 허위정보를 가려내지 못한다는 문제점 또한 존재한다. 본 논문에서는 기존 평점 정보 기반의 협업 필터링 추천 시스템의 문제점을 해결하기 위해, 온라인 고객 행동 정보를 활용한 협업 필터링 알고리즘을 제안하였다. 실험 결과 본 연구에서 제안한 Collaborative Filtering based on Online Behavior Information (BICF) 알고리즘이 기존의 평점 기반 협업 필터링 방식보다 우수한 성능을 보임을 보여주었다.

• Information Systems Review
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• v.18 no.2
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• pp.127-149
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• 2016

Based on a comprehensive literature review on Theory of Planned Behavior and Social Cognitive Theory, this study proposes and empirically examines a structural model consisting of factors affecting voluntary information security compliance behavior. To test the proposed research model, the study analyzes survey results from employees of a major Korean energy company, which employs an enterprise compliance support system. Results indicate three factors: compliance behavioral belief and compliance knowledge affect compliance behavior; compliance knowledge works as a mediator in the relationship between compliance behavioral belief and compliance behavior; and the more relevant the compliance is to an employee's job, the more the employee prioritizes compliance knowledge. This study suggests methods for encouraging employees to embrace voluntary, positive information security compliance standards. By doing so, this article aims to promote a more effective corporate compliance system for information security and enhance sustainable management practices.

• Industry Promotion Research
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• v.9 no.3
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• pp.163-174
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• 2024

MyData is a new entity that strengthens the rights of information subjects through the 'right to data portability' and utilizes data to enable hyper-personalized services using personal information. Korea's MyData system is recognized globally as an outstanding system in that it is creating a new MyData industry by granting the right to information self-determination through the 'right to request data transmission'. Now in its third year, this study evaluates Korea's MyData system from a consumer behavior perspective and identifies issues for improvement. To this end, this study reviewed previous research on the relationship between regulatory policy and consumer behavior to determine the applicability of a consumer behavior perspective in institutional evaluation. In addition, in a study on consumer behavior related to MyData, variables that affect the use of MyData were investigated and evaluation items from a consumer behavior perspective were derived. As a result of evaluating Korea's MyData system from a consumer behavior perspective, it was found that the factors considered important by consumers were appropriately reflected in the system. However, in cases where there are dual values of ease of use and personal information protection, regulatory aspects tend to take priority. Therefore, in order to revitalize the MyData industry, it is essential to implement market-friendly system improvements without compromising consumer rights. This study is differentiated from existing studies in that it attempted to derive a plan for system improvement by combining empirical consumer behavior research and regulatory policy research.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.4
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• pp.477-481
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• 2010

In this paper, we try to classify behavior patterns of a person around a bed based on a wireless sensor network system. We define five behavioral patterns and three states of a person around a bed which is described by a state machine. We collected data sensed by motion detection and vibration sensors installed around a bed from which a feature vector was extracted. Based on feature vector corresponding to behavioral patterns and the state machine, we established a model for behavioral patterns. To validate the model, experiments on subjects were performed and the model was fixed. These experimental results revealed that behavior patterns of a person around a bed can be classified well.

• Journal of Korean Society of Transportation
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• v.27 no.4
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• pp.137-143
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• 2009

It is necessary to develop driving assistant information in order to prevent a rear-end collision with a crashed car which is at the blind curve on highway. Laboratory experiments were performed using a driving simulator to keep the traffic environment constant. This research was evaluated the effect of driver behavior according to providing collision avoidance information which was consisted of advisory, caution, and warning information by the dangerous degree of traffic situation. Driver behavior was evaluated to analyze the collision avoidance with a crashed car, and glance behavior was examined to measure the eye movements to the display on which provided the collision avoidance information. After experiment, the significance was evaluated on provided collision avoidance information. As the result of this research, the number of collision accident is reduced when the phased information was provided. In addition, it is clear that auditory information is more important than visual information in the case of providing the second information.