Paper Number
ICIS2026-3119
Paper Type
Short
Abstract
AI-powered exercise technologies are viewed as promising tools for supporting healthy aging, and their value depends largely on continued use. This study examines why the elderly may resist the continued use of AI-powered exercise technologies. Drawing on person-environment fit theory, we investigate misfits between the elderly’s values and the demands and supplies of exercise technologies. Phase 1 involved interviewing 30 elderly people and conducting two focus groups with HCI experts. We identified affordance intelligibility misfit, socioemotional misfit, and content-relevance misfit to explain why exercise technologies may fail to lead to sustained use. In Phase 2, we will apply fsQCA to examine how configurations of the misfits affect the outcome. This study contributes to the literature on continued use and the PE fit theory by extending it to the application of exercise technologies among the elderly. Practically, the findings offer design implications for exercise technologies that better align with the elderly.
Recommended Citation
Qian, Yuzhou; Huo, Xuenan; Li, Meng-Nan; KengLeng, SIAU; Nah, Fiona; and Chee, Raymond, "Why the Elderly Show Resistance to Continued Use of AI-Powered Exercise Technologies?" (2026). ICIS 2026 Proceedings. 26.
https://aisel.aisnet.org/icis2026/user_engage/user_engage/26
Why the Elderly Show Resistance to Continued Use of AI-Powered Exercise Technologies?
AI-powered exercise technologies are viewed as promising tools for supporting healthy aging, and their value depends largely on continued use. This study examines why the elderly may resist the continued use of AI-powered exercise technologies. Drawing on person-environment fit theory, we investigate misfits between the elderly’s values and the demands and supplies of exercise technologies. Phase 1 involved interviewing 30 elderly people and conducting two focus groups with HCI experts. We identified affordance intelligibility misfit, socioemotional misfit, and content-relevance misfit to explain why exercise technologies may fail to lead to sustained use. In Phase 2, we will apply fsQCA to examine how configurations of the misfits affect the outcome. This study contributes to the literature on continued use and the PE fit theory by extending it to the application of exercise technologies among the elderly. Practically, the findings offer design implications for exercise technologies that better align with the elderly.
Comments
14_User_behavior