Making the Invisible Visible: Toward Micro-Expression Visualization for Empathy in Social Interaction
Feiyang Yin, Isidro Butaslac, Patrick Gebhard, Monica Perusquia-Hernandez, Zhaofeng Niu + 2 more
TLDR
This paper proposes a framework to visualize imperceptible micro-expressions, aiming to enhance empathy in social interactions.
Key contributions
- Introduces a conceptual framework for visualizing imperceptible micro-expressions.
- Transforms subtle facial movements into perceptible affective cues for users.
- Explores how micro-expression visualization can enhance empathic experience.
- Outlines a pilot study to assess the framework's feasibility in controlled settings.
Why it matters
This paper shifts focus from computational recognition to human-centered application of micro-expressions. It offers a novel approach to leverage imperceptible cues for social augmentation, potentially enhancing empathy. This could significantly impact human-computer interaction and social support.
Original Abstract
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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