Abstract
Despite the growing potential of artificial intelligence (AI) in improving clinical decision making, patients' perspectives on the use of AI for their care decision making are underexplored. In this paper, we investigate patients' preferences towards the autonomy of AI in assisting healthcare decision making. We conducted interviews and an online survey using an interactive narrative and speculative AI prototypes to elicit participants' preferred choices of using AI in a pregnancy care context. The analysis of the interviews and in-story responses reveals that patients' preferences for AI autonomy vary per person and context, and may change over time. This finding suggests the need for involving patients in defining and reassessing the appropriate level of AI assistance for healthcare decision making. Departing from these varied preferences for AI autonomy, we discuss implications for incorporating patient-centeredness in designing AI-powered healthcare decision making.
Original language | English |
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Title of host publication | CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems |
Place of Publication | New York |
Publisher | ACM |
Pages | 1-17 |
Number of pages | 17 |
ISBN (Electronic) | 979-8-4007-0330-0 |
DOIs | |
Publication status | Published - 2024 |
Event | 2024 CHI Conference on Human Factors in Computing Sytems, CHI 2024 - Hybrid, Honolulu, United States Duration: 11 May 2024 → 16 May 2024 |
Conference
Conference | 2024 CHI Conference on Human Factors in Computing Sytems, CHI 2024 |
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Country/Territory | United States |
City | Hybrid, Honolulu |
Period | 11/05/24 → 16/05/24 |
Keywords
- AI
- Clinical decision support tools
- Patient-centered care
- Shared decision making
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CHI 2024 Best paper honourable mention
Kim, D. (Recipient), Vegt, N.J.H. (Recipient), Visch, V.T. (Recipient) & Bos-de Vos, M. (Recipient), May 2024
Prize: National/international honour