Passing the Buck to AI: How Individuals' Decision-Making Patterns Affect Reliance on AI
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866909997985693696 |
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| author | Mei, Katelyn Xiaoying Pang, Rock Yuren Lyford, Alex Wang, Lucy Lu Reinecke, Katharina |
| author_facet | Mei, Katelyn Xiaoying Pang, Rock Yuren Lyford, Alex Wang, Lucy Lu Reinecke, Katharina |
| contents | Psychological research has identified different patterns individuals have while making decisions, such as vigilance (making decisions after thorough information gathering), hypervigilance (rushed and anxious decision-making), and buckpassing (deferring decisions to others). We examine whether these decision-making patterns shape peoples' likelihood of seeking out or relying on AI. In an online experiment with 810 participants tasked with distinguishing food facts from myths, we found that a higher buckpassing tendency was positively correlated with both seeking out and relying on AI suggestions, while being negatively correlated with the time spent reading AI explanations. In contrast, the higher a participant tended towards vigilance, the more carefully they scrutinized the AI's information, as indicated by an increased time spent looking through the AI's explanations. These findings suggest that a person's decision-making pattern plays a significant role in their adoption and reliance on AI, which provides a new understanding of individual differences in AI-assisted decision-making. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2505_01537 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Passing the Buck to AI: How Individuals' Decision-Making Patterns Affect Reliance on AI Mei, Katelyn Xiaoying Pang, Rock Yuren Lyford, Alex Wang, Lucy Lu Reinecke, Katharina Human-Computer Interaction Psychological research has identified different patterns individuals have while making decisions, such as vigilance (making decisions after thorough information gathering), hypervigilance (rushed and anxious decision-making), and buckpassing (deferring decisions to others). We examine whether these decision-making patterns shape peoples' likelihood of seeking out or relying on AI. In an online experiment with 810 participants tasked with distinguishing food facts from myths, we found that a higher buckpassing tendency was positively correlated with both seeking out and relying on AI suggestions, while being negatively correlated with the time spent reading AI explanations. In contrast, the higher a participant tended towards vigilance, the more carefully they scrutinized the AI's information, as indicated by an increased time spent looking through the AI's explanations. These findings suggest that a person's decision-making pattern plays a significant role in their adoption and reliance on AI, which provides a new understanding of individual differences in AI-assisted decision-making. |
| title | Passing the Buck to AI: How Individuals' Decision-Making Patterns Affect Reliance on AI |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2505.01537 |