Abstract
Wearable devices have shown good potential to improve mental health management, but their benefits largely depend on whether physicians are authorized to access patients’ data in wearable devices. However, few studies have examined this important issue. Drawing upon privacy calculus theory and congruence research, our study uses cubic response surface analysis to examine how different combinations of perceived benefits and risks would relate to patients' intention to authorize, thereby better characterizing the benefit-risk trade-off that is the core focus of privacy calculus theory. We further identify three key wearable device affordances (i.e., monitoring, feedback, and intervention affordances) to predict patients' perceived benefits of authorization. Implications to practice and research are also discussed.
| Original language | English |
|---|---|
| Journal | Pacific Asia Conference on Information Systems |
| Publication status | Published - 2025 |
| Externally published | Yes |
| Event | 29th Pacific Asia Conference on Information Systems, PACIS 2025 - Kuala Lumpur, Malaysia Duration: 5 Jul 2025 → 9 Jul 2025 |
Keywords
- affordance
- mental health
- privacy calculus theory
- privacy disclosure
- response surface analysis
- Wearable devices
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