• Journal of Digital Convergence
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• v.19 no.7
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• pp.139-146
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• 2021

This study considers the problems and social changes caused by the increase of single-person households in the elderly, and examines SmartHome services for them. We chose trust, security risk, self efficacy, social influence, perceived ease of use, and perceived usefulness as factors that affect attitude. The cognitive level of these factors and the difference betweene gender and education level of these factors were analyzed. The analysis showed that the elderly were fully aware of perceived ease of use and perceived usefulness. In addition, the elderly women are more socially influenced than the elderly men in the use of SmartHome services, and there was a significant difference in self efficacy and social influence by education level. This study will provide a new research perspective for subsequent studies and can be utilized as an important underlying study.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.12
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• pp.4752-4759
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• 2010

Using Technology Acceptance Model and flow theory as our foundation, this paper investigates the interrelationships among social influence, individual cognition, flow, and actual usage in the Web 2.0 environment. According to TAM, users evaluate perceived usefulness(PU) and ease of use(PEU) of information technology(IT) in accepting the innovative IT. Along with users' cognitive evaluation(i.e. PU and PEU), in case of UCC(user-created-contents), which is one of the representative Web 2.0 features, flow also has a significant effect on users' usage. Accordingly, the current study involve cognitive elements such as PU and PEU as well as flow of enjoyable state during using IT in exploring antecedents leading to UCC usage. On one hand, we consider the effect of social influence on users' cognition and flow toward actual usage because the more users creates Web contents, the more long-tail situation prevails on the Internet. Web 2.0 becomes a kind of social phenomena. The empirical results show that social influence affects positively both PU/PEU and flow. Users' cognitive evaluation and flow have positive impacts on users' UCC usage.

• Journal of Digital Convergence
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• v.16 no.3
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• pp.237-247
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• 2018

In this paper, a research model was designed to investigate the factors influencing the intention to the crowdfunding participator of China. The research model includes the platform factors, investor factors, and social factors, perceived ease of use, perceived usefulness and funding participants' intention. In this research, the data was collected by online survey, and in final analysis, 439 participators' questionnaires were used. The empirical paper proves research hypothesis by using SPSS 23.0. The results of the study are as follows: the crowdfunding platform factors, social factors and the participants' individual factors partially give positive effects to perceived ease of use and perceived usefulness; perceived ease of use gives positive effects to perceived usefulness. In addition, perceived ease of use and perceived usefulness have positive effects to participational intention. This paper provides a useful scheme for the better operation and promotion of crowdfunding. In the future, a comparative study of different types of crowdfunding is needed.

• Journal of Digital Contents Society
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• v.16 no.5
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• pp.749-756
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• 2015

This study focused on smartphone adoption of foreign students who are studying in Korea in digital media era. Smartphone is not only new media but also social media. Based on former research, factor for smartphone adoption of foreign students will be analyzed. Based on TAM theory technological attribute, individual attribute and social attribute were taken out as independent variables. Perceived ease of use and perceived usefulness are applied as mediator variables. In conclusion, some hypotheses for example service quality and individual attribute are rejected as variables which influence positively to mediator variable perceived easy of use. For the next research more various variables and nationwide sampling will be needed.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.541-551
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• 2022

The purpose of this study is to propose implications that can be effectively applied to the educational field by exploring the intention to use of augmented reality-based educational contents for college students. To this end, a survey was conducted with college students, and confirmatory factor analysis, correlation analysis, reliability analysis, and path analysis were performed using the SPSS 21.0 program and the AMOS 21.0 program. The results of the study were presented as follows. First, individual innovativeness influenced positively on perceived ease of use, perceived usefulness, and perceived enjoyment. Second, social influence influenced positively on perceived ease of use, perceived usefulness, and perceived enjoyment. Third, perceived enjoyment influenced positively on perceived usefulness. Fourth, perceived ease of use influenced positively on perceived usefulness and perceived enjoyment. Fifth, except for perceived ease of use, perceived usefulness and perceived enjoyment influenced positively on intention to use.

• Journal of the Korean Society of Earth Science Education
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• v.14 no.2
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• pp.193-201
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• 2021

This study is a study of factors affecting pre-service teachers' learning immersion in online science classes. The results of a survey on the responses of 88 pre-primary teachers to online science classes were interpreted. In online science class, independent variables were set as ease, usefulness, and social presence, and dependent variables were set as learning immersion. Online science classes were conducted based on the university's LMS system. The results of the study were interpreted by regression analysis for t-test, correlation between factors, and multicollinearity test in pre-post-responses of pre-service teachers for ease, usefulness, and social presence. The results of this study are as follows. First, there was a significant effect in the before-and-after tests of factors in the online science class. Second, the correlation coefficient between factors in online science class is .306 for sense of community and mutual support and concentration at the significance level of .01, and .354 for learning immersion and open communication, indicating that there is a correlation. Third, considering the effective results of the pre-post test of each factor in the online science class, it cannot be interpreted that a particular factor had an effect, but it is interpreted that learning was immersed in ease, usefulness, and a sense of social presence.

• The Journal of Korean Institute for Practical Engineering Education
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• v.2 no.1
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• pp.64-70
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• 2010

The purpose of this study is to understand students' use intentions of Web Based Collaborative Learning (WBCL) system. To meet this purpose, we developed a research model based on the Decomposed TPB. This model contains 5 influencing factors: Explicit social influence(EXSI) and Implicit social influence(IMSI), Perceived Usefulness (PU), Perceived easy of use(PEOU), Perceived Playfulness(PP). Data was collected 254 university students from two different institutions. Also, the analysis is conducted to do the hypothesis testing by using PLS 3.0. The result shows that influence factors except PEOU have a important and significant impact on user Behavior Intention(BI). Using WBCL system and learning tool, team leader(that is referent) and members can be a good interaction. For these same reasons, We found that especialy Explicit social influence(EXSI) and Implicit social influence(IMSI) are special influence factors in reference group.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.4
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• pp.227-235
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• 2018

The purpose of this study was to analyze the factors affecting on pre-service early childhood teachers' adoption intention of Robot-based education. For this purpose, the survey was conducted on 259 college students and the collected data was analyzed using SPSS 23.0. T-test and one-way ANOVA were used to compare the differences of adoption intention and predictive factors according to pre-service early childhood teachers' background variables. In addition, multiple linear regression analysis was conducted to analyze influence of perceived ease of use, perceived efficacy, innovative will, and social effect on adoption intention. The results were found that adoption intention and predictive factors did not show any significant difference according to background variables and that perceived ease of use and perceived efficacy influenced on pre-service early childhood teachers' adoption intention. Moreover, innovative will and social effect had an effect on perceived ease of use and perceived ease of use and social effect had an effect on perceived efficacy.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.200-203
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• 2009

최근 전 세계적으로 노인 인구가 차지하는 비중이 갈수록 증가하고 있어 세계적으로 고령화는 미래에 우리가 직면하게 될 가장 큰 사회적인 문제로 대두되고 있다. 고령화 사회에 삶의 질을 향상하기 위해서는 고령자가 주체가 되어 생활환경의 설계를 위한 실버 운용 시스템의 구조적 변화의 방향성을 제시 할 필요가 있다. 이 과정에서 요구되는 사회적 커뮤니티는 실버세대에게 자신감과 즐거움을 제공하고, 삶의 질을 높이는데 중요한 역할을 할 것이며 기능성 게임 콘텐츠는 실버세대의 커뮤니티에 중요한 역할을 할 것이다. 본 논문에서는 실버 세대의 여가 활용과 건강 유지를 위해 조작이 용이한 인터페이스 기술을 이용한 기능성 게임 콘텐츠인 두더지 밟기 게임을 제안한다. 제안 방법은 단순한 UI와 무선 인터페이스 기술을 활용함으로써 게임 조작의 용이성을 확보할 수 있고 근력강화, 균형성 및 유연성 기능과 더불어 재미와 흥미를 유발할 수 있도록 하였다.

• Journal of Intelligence and Information Systems
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• v.29 no.2
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• pp.149-170
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• 2023

This study analyzed the factors influencing users' intention to use the Metaverse by applying the extended technology acceptance model. In other words, the factors affecting users' intention to use the Metaverse were defined as technical characteristics (telepresence, interoperability, seamlessness, concurrence, and economy flow) and personal characteristics (social influence and perceived enjoyment) from the perspective of the Extended Technology Acceptance Model. For this purpose, a survey was conducted among men and women of various ages ranging from teenagers to 60s, and the data collected from 327 participants were analyzed using SPSS 22.0 and Smart PLS 4.0. The results showed that perceived usefulness and perceived ease of use, which are antecedents of the Extended Technology Acceptance Model, influence the intention to use Metaverse, and perceived ease of use influences perceived usefulness. Telepresence, interoperability and economy flow were found to have a positive effect on perceived usefulness, and interoperability, seamlessness and concurrence were found to have a positive effect on perceived ease of use. In addition, social influence and perceived enjoyment had a positive effect on intention to use the Metaverse. This study is significant in that it empirically analyzed the factors of users' acceptance of the Metaverse, which is attracting attention as a new platform that will bring significant changes to our daily lives and platform consumption environments.