HCApr 28

Making the Invisible Visible: Toward Micro-Expression Visualization for Empathy in Social Interaction

arXiv:2604.2550538.5
Predicted impact top 50% in HC · last 90 daysOriginality Synthesis-oriented
AI Analysis

For researchers in social augmentation and affective computing, this work addresses the limited application of micro-expression recognition in human-centered contexts, though it remains at a conceptual stage.

This paper proposes a conceptual framework for visualizing micro-expressions to enhance empathy in social interaction, and outlines a planned pilot study to assess its feasibility.

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.

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