Selective Trust: Understanding Human-AI Partnerships in Personal Health Decision-Making Process

要旨

As artificial intelligence (AI) becomes more embedded in personal health technology, its potential to transform health decision-making through personalised recommendations is becoming significant. However, there is limited understanding of how individuals perceive AI-assisted decision-making in the context of personal health. This study investigates the impact of AI-assisted decision-making on trust in physical activity-related health decisions. By employing MoveAI, a GPT-4.0-based physical activity decision-making tool, we conducted a mixed-methods study and conducted an online survey (N=184) and semi-structured interviews (N=24) to explore this dynamic. Our findings emphasise the role of nuanced personal health recommendations and individual decision-making styles in shaping trust in AI-assisted personal health decision-making. This paper contributes to the HCI literature by elucidating the relationship between decision-making styles and trust in the AI-assisted personal health decision-making process and showing the challenges of aligning AI recommendations with individual decision-making preferences.

著者
Sterre van Arum
University of Twente, Enschede, Netherlands
Hüseyin Uğur Genç
TU Delft, Delft, Netherlands
Dennis Reidsma
University of Twente, Enschede, Netherlands
Armağan Karahanoğlu
University of Twente, Enschede, Netherlands
DOI

10.1145/3706598.3713462

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713462

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Technologies for Decision Making

G402
6 件の発表
2025-04-30 23:10:00
2025-05-01 00:40:00
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