The Drawback of Insight: Detailed Explanations Can Reduce Agreement with XAI
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866914777771540480 |
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| author | Pias, Sabid Bin Habib Freel, Alicia Trammel, Timothy Akter, Taslima Williamson, Donald Kapadia, Apu |
| author_facet | Pias, Sabid Bin Habib Freel, Alicia Trammel, Timothy Akter, Taslima Williamson, Donald Kapadia, Apu |
| contents | With the emergence of Artificial Intelligence (AI)-based decision-making, explanations help increase new technology adoption through enhanced trust and reliability. However, our experimental study challenges the notion that every user universally values explanations. We argue that the agreement with AI suggestions, whether accompanied by explanations or not, is influenced by individual differences in personality traits and the users' comfort with technology. We found that people with higher neuroticism and lower technological comfort showed more agreement with the recommendations without explanations. As more users become exposed to eXplainable AI (XAI) and AI-based systems, we argue that the XAI design should not provide explanations for users with high neuroticism and low technology comfort. Prioritizing user personalities in XAI systems will help users become better collaborators of AI systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_19629 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | The Drawback of Insight: Detailed Explanations Can Reduce Agreement with XAI Pias, Sabid Bin Habib Freel, Alicia Trammel, Timothy Akter, Taslima Williamson, Donald Kapadia, Apu Human-Computer Interaction With the emergence of Artificial Intelligence (AI)-based decision-making, explanations help increase new technology adoption through enhanced trust and reliability. However, our experimental study challenges the notion that every user universally values explanations. We argue that the agreement with AI suggestions, whether accompanied by explanations or not, is influenced by individual differences in personality traits and the users' comfort with technology. We found that people with higher neuroticism and lower technological comfort showed more agreement with the recommendations without explanations. As more users become exposed to eXplainable AI (XAI) and AI-based systems, we argue that the XAI design should not provide explanations for users with high neuroticism and low technology comfort. Prioritizing user personalities in XAI systems will help users become better collaborators of AI systems. |
| title | The Drawback of Insight: Detailed Explanations Can Reduce Agreement with XAI |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2404.19629 |