An Exploratory Study on User Acceptance of an AI-AR Converged Personalized Physical Activity Support System for Older Adults
Abstract
This study employed an exploratory sequential mixed-methods design to investigate user acceptance determinants of an AI-AR integrated physical activity support system for older adults. In the qualitative phase, semi-structured interviews were conducted with 14 older adults (mean age 71.2 years) and 9 domain experts, deriving 10 core constructs through grounded theory coding (Krippendorff's α = .812-.887). In the quantitative phase, a survey of 285 older adults was analyzed using hierarchical regression and moderation analyses. Key findings revealed that Safety Trust was the strongest predictor of behavioral intention (β = .321, p
Fields of Study & Subjects
Technology Use by Older Adults
Technology Adoption and User Behaviour
Innovative Human-Technology Interaction
Publication details
- Journal / source
- Korean Journal of Sports Science
- Volume
- 35
- Issue
- 1
- Pages
- 42–57
- Publication date
- 28 February 2026
- Language
- EN