• 복식문화연구
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• 제17권6호
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• pp.1155-1172
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• 2009

Wearable computers can be defined as next generation clothing integrated with various digital functions and devices. Unlike existing computers, they are viewed as human-centric computers customized for information utilization and other specific human needs. This study is intended to discover how consumers are accepting wearable computers, which are different from existing computers, based on Technology Acceptance Model(TAM) and to extend the model by adding variable regarding acceptance of wearable computers. A total of 683 copies of questionnaires, distributed to those aged 19 and older, both male and female, were collected online. The data was statistically analyzed for this study using the extended TAM. In order to test hypotheses, the structural equation model using the Lisrel 8.30 version was performed. For analyzing constructs(or traits) of research model, exploratory factor was conducted and the measurement model was assessed from the result. Reliability was assessed through confirmatory factor analysis and the calculation of Cronbach's alpha coefficients. Overall, model fit was assessed by statistical indexes: Chi-square value, GFI, AGFI, and RMR. This study analyzed the process of acceptance of wearable computers with the extended TAM that includes a variable, perceived value, on the basis of previous studies. The results of the analysis revealed that attitude toward wearable computer was directly influenced by perceived usefulness and perceived value but indirectly influenced by perceived ease of use. Acceptance intention of the wearable computer was directly influenced by perceived value and attitude toward wearable computer. To be more specific, perceived usefulness was significantly correlated with both attitude toward wearable computer and acceptance intention of the wearable computer. Perceived value was also significantly correlated with both attitude toward wearable computer and acceptance intention of the wearable computer. The results of this study also suggested that perceived ease of use was actually a causal antecedent to perceived usefulness and perceived value. This research revealed that extended TAM to investigate the acceptance of wearable computer was appropriate. This study is intended to provide a theoretical framework for adoption of wearable computer and suggest empirical analysis that can serve as a guide for wearable computer.

• 한국컴퓨터정보학회논문지
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• 제25권3호
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• pp.129-143
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• 2020

본 연구는 웨어러블 헬스케어 기기 사용자들의 수용의도를 보다 효과적으로 설명하기 위하여, 개인 혁신성에 따른 수용의도를 살펴보고 이를 확장된 통합기술수용모형(UTAUT2, Extended UTAUT) 이론에 적용하여 실증분석을 실시하고 그 결과에 따른 학술적·실무적 시사점을 제시하고자 한다. 본 연구에서 제안된 가설들을 검증하기 위해 PLS 3.0을 사용하여 구조모형을 검증하였다. 본 연구의 결과는 다음과 같이 요약될 수 있다. 첫째, 개인 혁신성이 웨어러블 헬스케어 기기의 성과기대와 노력 기대, 촉진조건, 쾌락적 동기, 가격 효용성에 매우 유의한 영향을 미치는 것으로 나타났다. 둘째, 해당 기기를 수용하고자 하는 태도에 성과기대, 노력기대, 쾌락적 동기, 가격 효용성이 웨어러블 헬스케어 기기를 수용하고자 하는 태도에 유의한 영향을 미치는 것으로 나타났다.

• International Journal of Internet, Broadcasting and Communication
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• 제10권3호
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• pp.1-10
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• 2018

Wearable Technology is going to be the biggest buzzword and the next generation of digital revolution in the near future. Wearables have changed the focus of the healthcare industry to prevention programs in order to encourage individuals to be more active and to take the responsibility of their own health. Although, the intention of consumers to use wellness wearables has been growing rapidly, the number of individuals who refuses continued use of such devices increases day-by-day. Diffusion and innovation of new technology could be more efficiently gained by consumer's adoption. So, it is extremely important for providers and designers to understand the impact of positive and negative factors on consumers' intention to use wellness wearables. Moreover, a unified framework is required for better understanding of individuals' behavioral intention for using wellness wearables. Thus, the goal of this study is to identify the potential factors that influence consumers' willingness to use wellness wearables as well as proposing a unified framework based on Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) and Value-based Adoption Model (VAM) with two extra factors, perceived trust and perceived health increase. The findings of this article improves the theoretical understanding of the engaged factors in the proposed research model of the study.