• The Journal of the Korea Contents Association
• /
• v.21 no.5
• /
• pp.22-35
• /
• 2021

The unprecedented pandemic caused by the COVID-19 has led to a massive global public health campaign to slow the spread of the virus. Thus, this study examines the importance of individual's prevention behavior intention by adapting health belief model(HBM). In addition, we added social variables to understand the prevention behavior better considering the situation in which collective behaviors are important. The online survey results(N=298) showed that higher level of perceived severity, perceived susceptibility, perceived benefits, perceived peril, perceived social norms and lower level of perceived responsibility led to higher prevention behavior intention. Peril was the most influential factor among all the variables. In addition, perceived severity and social norms followed after that. Additional analysis also implied that socio-HBM model we proposed better explained the prevention behavior intention than traditional HBM.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2022.06a
• /
• pp.331-332
• /
• 2022

After the Great East Japan Earthquake, reports and books that compiled the testimonies of the victims were published and the situation of the evacuation at that time became known. However, there is very little information on the evacuation situation of children among these data, and it is not fully known what actions the children took and how they evacuated due to an earthquake or tsunami. The purpose of this study is to analyze and examine children's evacuation behavior in the Great East Japan Earthquake, and to predict children's evacuation behavior for future disasters.

• Korean Journal of Culture and Social Issue
• /
• v.9 no.spc
• /
• pp.75-88
• /
• 2003

This study reviewed behavioral studies that have been conducted to prevent accidents. The studies were analyzed according to settings, subjects, experimental design, dependent and independent variables. Based on this analysis, issues important for conducting future research are proposed. The analysis indicated that behavioral studies have several limitations although they have been successful in preventing accidents. Especially, variables in individual levels that have been related to the accidents have not been appropriately dealt with in the behavioral studies. Similarly, several important variables in organizational levels have not been implemented in the behavioral studies. Therefore, these variables should be more appropriately dealt with in future behavioral research to increase the effectiveness of accident prevention programs. In addition, theoretical relationship between dimensions of independent and dependent variables and maintenance of programs need to be studied further.

• Journal of KIISE
• /
• v.41 no.12
• /
• pp.1152-1159
• /
• 2014

In this paper, we presents a system to ensure the safety of residents through appropriate action or alarm in case the residents occurs an emergency situation and abnormal activity. We collect and analysis real-time data of living environment of the residents using video and sensor. The existing system have been determined by using only the sensor data it have several problems. Our system attach camera to solve the existing system problem. We use weighted difference image and motion vector. The existing system, it takes about 48 hours to determine that an abnormal activity occurs. However, our system takes less than 1 hour.

• Journal of Digital Contents Society
• /
• v.13 no.3
• /
• pp.291-299
• /
• 2012

Ubiquitous computing is a technique to provide users with appropriate services, collecting the context information in somewhere by attached sensor. An intelligent system needs to automatically update services according to the user's various circumstances. To do this, in this paper, we propose a design of context ontology, trigger rule for mining service pattern related to users activity and an active mining architecture integrating trigger system. The proposed system is a framework for active mining user activity and service pattern by considering the relation between user context and object based on trigger system.

• The Journal of the Korea Contents Association
• /
• v.20 no.8
• /
• pp.598-617
• /
• 2020

In many enterprises, the extent and the frequency of damages incurred due to the unethical behavior of the members of the organization have not reduced, but rather the magnitude and frequency of damages have been increasing. Research at an organizational level is necessary at this point in time, to investigate the contributing variables that cause this unethical behavior, the measures to manage them, and the control variables that can reduce unethical pro-organizational behavior. Therefore, this study seeks to explore perceived organizational support and psychological entitlement as leading factors of unethical pro-organizational behavior, based on the theory of social exchange, and to examine the reaction mechanism between these variables. This is particularly because a large number of the current labor force belongs to the millennial generation (born after 1978) or Generation Y, and their sense of psychological entitlement has been problematic in their organization. The effect of perceived organizational support on unethical pro-organizational behavior and the effect of psychological entitlement on unethical pro-organizational behavior were examined through a review of existing literature, and an empirical analysis was conducted to investigate the moderating effects of psychological entitlement on perceived organizational support and unethical pro-organizational behavior. A regression analysis was conducted based on the valid data of 185 members of an organization who belong to the millennial generation, and the analysis results showed that a sense of psychological entitlement had a moderating effect between perceived organizational support and unethical pro-organizational behavior. Based on these findings, this paper proposes theoretical and practical implications for unethical pro-organizational behavior and psychological entitlement, and hopes to contribute to expanding research in this area.

• Journal of Consumption Culture
• /
• v.17 no.1
• /
• pp.139-155
• /
• 2014

As recent health issues are on the rise, this study was to evaluate the influence of external factors about eating behavior, which can be applied both in terms of consumption and the health aspects. It was specifically shown the difference of behavior of eating in the size of snack, and the size of the bowl. Especially this study focused on the impact of external factors in the situation where eating behavior is actively required. First, it was seen whether there are any differences of eating depending upon the sizes of snacks and the bowls. According to the analysis, the participants were influenced by the size of the snacks they received. It was verified that the larger the size of the snack was, the more they eat. But ate amount of participants thought that there was no difference. And the interaction between size of the snack and the size of bowl was not significant. The result of this study has the significance for confirming factors that can unconsciously affect on eating behavior and the influence of these external factors would be applied on both in terms of consumption and the health aspects.

• 한국HCI학회:학술대회논문집
• /
• 2006.02a
• /
• pp.647-652
• /
• 2006

본 논문에서는 스마트 홈을 위한 실내 위치 추적 방법을 제안한다. 스마트 홈 환경에서 개인의 상황에 맞는 서비스를 제공하기 위해서 위치는 중요한 정보 중의 하나이며 최근에는 위치 정보를 확장하여 거주자의 행동 정보를 활용하여 거주자의 행동에 따른 서비스를 제공하는 것이 이슈가 되고 있다. 이를 위해서 제안된 적외선 기반 실내 위치 추적 시스템인 ubiTrack은 스마트 홈 내의 거주자로부터 거주자의 행동을 추론하기 위한 여러 컨텍스트 정보를 추출할 수 있다. 제안된 방법은 발신기, 수신기, 그리고 클라이언트 부분으로 나뉜다. 발신기는 천장에 부착되어 있는 적외선 발신기로부터 각각의 아이디를 가진 적외선 신호를 발생한다. 두 개의 적외선 수신 센서로 구성된 수신기는 발신기에서 발신된 아이디를 수신하여 클라언트 부분으로 보낸다. 클라이언트는 이 개별 아이디를 실제 위치정보로 전환하고 이를 활용하여 거주자의 방위와 속력 정보를 추출한다. 추출된 속력 및 방위 정보를 활용하여 거주자의 간단한 행동 정보를 추론할 수 있다. ubiTrack에서 추출된 이러한 정보는 거주자의 최종 행동 정보, 즉 거주자가 TV를 보려는지, 전등을 사용하려는지 등의 정보를 추론하는데 사용될 수 있다. 제안된 방법은 스마트 홈 테스트 베드인 ubiHome에 적용이 되었으며 몇 가지 실험을 통하여 거주자의 행동을 통하여 스마트 홈 환경에서 거주자의 행동을 통한 서비스 제공이 가능함을 보였다.

• Journal of Service Research and Studies
• /
• v.14 no.2
• /
• pp.158-177
• /
• 2024

This paper proposes and tests a theoretical model of the relational link between a novel form of customer-perceived fairness for a reward design (distributive peer justice climate) and C2C helping intention via community identification and online C2C interaction (friend-, neighboring customer-, audience-interaction) qualities in a collective consumption context (MMORPG). To test hypotheses, we amassed survey data within a collective consumption context (massively multiplayer online role-playing games, MMORPGs). We used structural equation modeling in analyzing the survey data. The results reveal that user-perceived distributive peer justice climate for a reward design enhances their C2C helping intention via community identification and C2C interactions in MMORPG contexts. Collective consumption-type service managers should focus on promoting the user-perceived distributive peer justice climate for their reward system to enhance users' present C2C co-creation experience (community identification, C2C interaction) and future C2C co-creation behavior (helping intention). By adopting an intra-unit level distributive justice concept (customer-perceived distributive peer justice climate) to a reward design in a collective consumption context (MMORPGs), this study informed collective consumption-type service managers of the importance of its management.

• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 2005.11a
• /
• pp.436-439
• /
• 2005

로봇축구는 과거의 단순한 수비시스템 벗어나 지능적 공격시스템으로 점차 변하기 시작했다. 본 논문에서는 휴리스틱 탐색기법인 최고우선탐색기법을 사용하여 공격로봇의 경험을 통해 로봇 움직임의 최적해를 찾아내고, 각 로봇간의 동기화로 인한 전술변화에 대해 설명하고 있다. 로봇이 공격과정에서 수비하는 로봇을 피해 다른 로봇에게 공을 전달하고 그 로봇이 상황에 따라 공격과 수비의 변화를 주는 방식이다. 이 알고리즘을 적용하여 최적의 로봇축구에이전트 시스템의 행동상황을 추출하고, 시뮬레이션을 통해 그 전략의 유용성을 확인한다.