A Study on the Understanding of Smart Watch on Intention of Continuous Use in Health Care
Jun-Hyuk Hong
Abstract
Jun-Hyuk Hong
Abstract
The healthcare industry is changing dramatically due to the need for real-time monitoring. With point-of-care, diagnostics and long-term health conditions, most smartwatch manufacturers are shifting markedly with a focus on healthcare applications. The purpose of this study is to analyze whether there is a mediating effect between the understanding of the smartwatch system and the continuous intention to use the system. For this study, the degree of understanding of the smart watch system was classified into safety, convenience, and technology readiness. Smart watch trust was selected as an individual dependent variable. For this study, 250 samples were collected through an online survey, and 220 of the respondents gave valid responses. For statistical analysis, structural equation modeling technique was used. The study results are summarized as follows. First, safety, convenience, and technical readiness have a positive effect on motivation to use. Second, trust in smartwatches has a positive effect on motivation to use them. Third, the motive for use has a positive effect on the intention of continuous use. Through this empirical study, it became the basis for continuous use of smartwatch applications by users. It will serve as an opportunity to provide smartwatch manufacturers with a mechanism for the user's decision-making process.
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The healthcare industry is changing dramatically due to the need for real-time monitoring. With point-of-care, diagnostics and long-term health conditions, most smartwatch manufacturers are shifting markedly with a focus on healthcare applications. The purpose of this study is to analyze whether there is a mediating effect between the understanding of the smartwatch system and the continuous intention to use the system. For this study, the degree of understanding of the smart watch system was classified into safety, convenience, and technology readiness. Smart watch trust was selected as an individual dependent variable. For this study, 250 samples were collected through an online survey, and 220 of the respondents gave valid responses. For statistical analysis, structural equation modeling technique was used. The study results are summarized as follows. First, safety, convenience, and technical readiness have a positive effect on motivation to use. Second, trust in smartwatches has a positive effect on motivation to use them. Third, the motive for use has a positive effect on the intention of continuous use. Through this empirical study, it became the basis for continuous use of smartwatch applications by users. It will serve as an opportunity to provide smartwatch manufacturers with a mechanism for the user's decision-making process.
Key concepts: Smartwatch, Structural equation modeling, Health care, Process (computing), Smart device, Computer science, Knowledge management, Human–computer interaction