AI 中文总结
该研究针对现有思维工具对情感的片面认知，提出情感是认知的构成要素，明确情感化思维工具的两大障碍，给出三种设计策略并基于相关实证研究为未来设计提供启发。
AI 中文摘要
现有的思维工具（TfTs）将情感视为阻碍认知进展的干扰因素或需优化的信号。基于生成认知科学，我们提出情感是认知的构成要素：它会重塑思维的轨迹，而非仅改变思维的速度。我们明确了情感化TfTs的两大核心障碍：一是缺乏共享注意力（即对用户参与状态的关怀性定向关注），二是缺乏情感重定向（即利用情感时刻开辟新思维轨迹而非强化预设轨迹的能力），并提出三种可同时解决这两大障碍的设计策略：情感链与思维链（Chain of Emotion X Chain of Thought）、情感镜像（Affective Mirror）以及提示式重定向（Prompted Reorienting）。这些策略基于一项针对具身工艺学习的触摸感知对话智能体研究的实证发现，旨在为未来设计提供启发。
英文摘要
Current Tools for Thought (TfTs) treat affect as either friction that slows cognitive progress or a signal to optimise it. Drawing on enactive cognitive science, we argue that affect is constitutive of cognition: it reshapes the trajectory of thinking, not just the speed. We identify two core barriers for Affective TfTs: the lack of Shared Attention (caring, directed attention to the user's mode of engagement) and the lack of Affective Reorienting (the capacity to use emotional moments to open new trajectories rather than reinforcing predetermined ones), and propose three design strategies that address both: Chain of Emotion X Chain of Thought, Affective Mirror, and Prompted Reorienting. The strategies are grounded in empirical findings from a study of a touch-aware conversational agent for embodied craft learning, and are oriented as provocations for future design.
Comments4 pages, 2-column ACM format. Accepted to the CHI 2026 Workshop on Tools for Thought: Understanding, Protecting, and Augmenting Human Cognition with Generative AI, April 16, 2026, Barcelona, Spain. Workshop website: https://ai-tools-for-thought.github.io/workshop/
