Validating the moderating role of age in multi-perspective acceptance model of wearable healthcare technology |
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| Affiliation: | 1. California State University, Monterey Bay, 100 Campus Center, Seaside, CA 93955, United State;2. McMaster University, Ontario, Canada;1. International Center for Health Information Technology, Taipei Medical University, Taipei, Taiwan;2. Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei, Taiwan;3. King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences, Publication Office, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Kingdom of Saudi Arabia;4. Qatar Computing Research Institute, Doha, Qatar;5. IBM T.J, Watson Research Center, New York, USA;6. Department of Information Systems, University of Fort Hare, South Africa;7. Hong Kong Society of Medical Informatics, Hong Kong;8. Aristotle University of Thessaloniki, Greece |
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| Abstract: | The recent trend of aging population, not to mention the unprecedented pandemic, draws great attention from the general public about health concerns. Since healthcare information technology is different from non-healthcare information technology, additional contexts should be properly incorporated into technology acceptance research to accurately identify influential factors affecting the acceptance of wearable healthcare technology. Thus, we selectively reconfigured factors from health, privacy, and socio-demographic contexts to formulate a health-aware acceptance model. Then, it was empirically analyzed using structural equation modeling. Based on the results, whereas privacy concerns were directly associated with intention to use wearable healthcare technology, health concerns were not. Moreover, age had a moderating effect on social influence and facilitating conditions. These findings suggest valuable insights that the adoption rate of healthcare technology is increased by 1) keeping personal information securely, 2) facilitating social interaction among users, and 3) offering intuitive user experience for elderly people. |
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| Keywords: | Wearable activity tracker Aging population Health belief model Privacy calculus theory Technology acceptance model Unified theory of acceptance and use of technology |
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