克服锚定偏差：基于AI和XAI的决策支持的潜力
Overcoming Anchoring Bias: The Potential of AI and XAI-based Decision Support
AI总结：
本研究通过两项共390人参与的购买决策在线实验，考察AI及XAI决策支持对锚定偏差的缓解作用，发现单独AI与AI结合XAI均能减少其负面影响。
摘要：
信息系统（IS）经常被设计为利用锚定偏差的负面影响来影响个人决策（例如通过操纵购买决策）。人工智能（AI）的最新进展，以及通过可解释人工智能（XAI）对其决策进行解释，为缓解有偏差的决策开辟了新机遇。迄今为止，这些技术进步在克服锚定偏差方面的潜力仍普遍不明确。为此，我们在购买决策情境中开展了两项在线实验，共有N=3390名参与者参与，以考察基于AI和XAI的决策支持对锚定偏差的影响。我们的结果表明，单独使用AI以及将AI与XAI相结合，都有助于缓解锚定偏差的负面影响。最终，我们的研究结果对设计基于AI和XAI的决策支持以及信息系统以克服认知偏差具有启示意义。
英文摘要：
Information systems (IS) are frequently designed to leverage the negative effect of anchoring bias to influence individuals' decision-making (e.g., by manipulating purchase decisions). Recent advances in Artificial Intelligence (AI) and the explanations of its decisions through explainable AI (XAI) have opened new opportunities for mitigating biased decisions. So far, the potential of these technological advances to overcome anchoring bias remains widely unclear. To this end, we conducted two online experiments with a total of N=390 participants in the context of purchase decisions to examine the impact of AI and XAI-based decision support on anchoring bias. Our results show that AI alone and its combination with XAI help to mitigate the negative effect of anchoring bias. Ultimately, our findings have implications for the design of AI and XAI-based decision support and IS to overcome cognitive biases.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
