Let AI Decide for Me? Decision Autonomy and Emotional Response in Tragic Medical Scenarios

Artificial intelligence (AI) is increasingly used in healthcare, but people often resist it. Notably, the impact of medical AI decisions on consumers’ post-experiences and long-term well-being remains largely unknown. The present research investigates people’s adoption intention toward medical AI and how AI decisions influence individuals’ emotional response in tragic medical scenarios. Across four studies, we found that individuals demonstrated AI appreciation, expressing a lower desire for decision-making autonomy and a preference for doctors or AI make the decision (Studies 1–4). Moreover, whether the tragic medical decision involved continuing treatment (Study 2) or withdrawing treatment (Study 3), AI decision-making could alleviate individuals’ negative emotions, particularly guilt. In addition, doctor–AI collaborative decision-making not only enhanced individuals’ confidence in tragic medical decision-making but also proved more effective in reducing negative emotions (Study 4). Finally, we discuss the theoretical and practical implications of these findings and suggest avenues for future research.

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Publication Details

Journal
International Journal of Human-Computer Interaction
Published
2026-06-30
DOI
https://doi.org/10.1080/10447318.2026.2690097
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Let AI Decide for Me? Decision Autonomy and Emotional Response in Tragic Medical Scenarios

Huadong Chu, Yuhang Wang, Yue Wang, Fengpei Hu et al.
International Journal of Human-Computer Interaction
Artificial Intelligence in Healthcare and Education
article

Let AI Decide for Me? Decision Autonomy and Emotional Response in Tragic Medical Scenarios

Huadong Chu, Yuhang Wang, Yue Wang, Fengpei Hu, Lei Zhao
article en

Abstract

Artificial intelligence (AI) is increasingly used in healthcare, but people often resist it. Notably, the impact of medical AI decisions on consumers’ post-experiences and long-term well-being remains largely unknown. The present research investigates people’s adoption intention toward medical AI and how AI decisions influence individuals’ emotional response in tragic medical scenarios. Across four studies, we found that individuals demonstrated AI appreciation, expressing a lower desire for decision-making autonomy and a preference for doctors or AI make the decision (Studies 1–4). Moreover, whether the tragic medical decision involved continuing treatment (Study 2) or withdrawing treatment (Study 3), AI decision-making could alleviate individuals’ negative emotions, particularly guilt. In addition, doctor–AI collaborative decision-making not only enhanced individuals’ confidence in tragic medical decision-making but also proved more effective in reducing negative emotions (Study 4). Finally, we discuss the theoretical and practical implications of these findings and suggest avenues for future research.

International Journal of Human-Computer Interaction
Zhejiang University of Technology (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 11%
Artificial Intelligence in Healthcare and Education
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