MetaCues通过提示引导用户主动思考，提升信息搜索质量。
MetaCues: Enabling Critical Engagement with Generative AI for Information Seeking and Sensemaking
- 在AI回复中嵌入元认知提示，引导用户反思和提问
- 实验显示用户对观点判断更自信，探索范围更广
- 尤其适合不熟悉或争议较小主题的深度学习者
生成式AI（GenAI）搜索工具广泛用于信息获取，但其设计常导致认知卸载，引发被动参与、选择性注意和信息同质化。有效使用需元认知参与，包括优化提示、验证输出及批判性评估。我们开发了MetaCues，一种基于GenAI的交互式信息搜索工具，结合元认知提示与笔记功能，引导用户探究与学习。在线研究（N=146）对比了带提示与无提示的基线工具，覆盖两个需多视角分析的主题。初步结果显示，使用MetaCues的用户对观点判断更自信，且查询范围更广；该效果在争议较小、参与者较不熟悉的主题中尤为明显。未来将深入探讨搜索行为与探究模式。
原文摘要 · Abstract (English)
Generative AI (GenAI) search tools are increasingly used for information seeking, yet their design tends to encourage cognitive offloading, which may lead to passive engagement, selective attention, and informational homogenization. Effective use requires metacognitive engagement to craft good prompts, verify AI outputs, and critically engage with information. We developed MetaCues, a novel GenAI-based interactive tool for information seeking that delivers metacognitive cues alongside AI responses and a note-taking interface to guide users' search and associated learning. Through an online study (N = 146), we compared MetaCues to a baseline tool without cues, across two broad search topics that required participants to explore diverse perspectives in order to make informed judgments. Preliminary findings regarding participants' search behavior show that MetaCues leads to increased confidence in attitudinal judgments about the search topic as well as broader inquiry, with the latter effect emerging primarily for the topic that was less controversial and with which participants had relatively less familiarity. Accordingly, we outline directions for future qualitative exploration of search interactions and inquiry patterns.
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