Micro-expressions are brief and subtle facial movements that convey nuanced affective information but often remain imperceptible during natural social interaction. Although prior research has primarily focused on computational recognition and spotting of micro-expressions, their application in human-centered contexts remains limited. From the perspective of social augmentation, this work proposes a conceptual framework for micro-expression visualization that transforms otherwise imperceptible micro-expressions into perceptible affective cues, with the aim of exploring their potential influence on empathic experience. Furthermore, we outline a planned pilot study to preliminarily assess the feasibility of this framework under controlled conditions.

翻译：微表情是短暂而微妙的面部运动，能够传递细微的情感信息，但在自然社交互动中往往难以被察觉。尽管以往研究主要聚焦于微表情的计算识别与检测，其在人本场景中的应用仍十分有限。本研究从社交增强的视角出发，提出一个微表情可视化的概念框架，将原本不可感知的微表情转化为可感知的情感线索，旨在探索其对共情体验的潜在影响。此外，我们概述了一项计划中的预实验研究，旨在受控条件下初步评估该框架的可行性。