AI通过延续用户自身思考逻辑，更好辅助复杂决策。
AI, Help Me Think$\unicode{x2014}$but for Myself: Assisting People in Complex Decision-Making by Providing Different Kinds of Cognitive Support
- AI不直接给推荐，而是基于用户已有思路延伸支持
- 相比推荐型AI，用户思维更连贯，决策效果略优
- 适合需要深度参与、避免盲目依赖的决策场景
如何设计能有效辅助人类决策、补充并增强用户推理过程的AI工具？当前以推荐为核心的模式存在依赖不当或难以融入用户决策流程的问题。本文提出一种新交互范式——ExtendAI，其输出基于用户自身的决策理由进行延伸。在混合方法用户研究中，参与者在投资决策任务中分别使用ExtendAI与推荐型AI（RecommendAI）。结果显示，ExtendAI更自然地融入用户思维过程，提升决策连贯性，带来轻微更好的结果；而RecommendAI虽需更少认知负荷，但能提供更丰富的新颖见解。研究揭示了三种AI辅助决策中的核心张力及其影响。
原文摘要 · Abstract (English)
How can we design AI tools that effectively support human decision-making by complementing and enhancing users' reasoning processes? Common recommendation-centric approaches face challenges such as inappropriate reliance or a lack of integration with users' decision-making processes. Here, we explore an alternative interaction model in which the AI outputs build upon users' own decision-making rationales. We compare this approach, which we call ExtendAI, with a recommendation-based AI. Participants in our mixed-methods user study interacted with both AIs as part of an investment decision-making task. We found that the AIs had different impacts, with ExtendAI integrating better into the decision-making process and people's own thinking and leading to slightly better outcomes. RecommendAI was able to provide more novel insights while requiring less cognitive effort. We discuss the implications of these and other findings along with three tensions of AI-assisted decision-making which our study revealed.
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