Emotion Embodied : Unveiling the Expressive Potential of Single-Hand Gestures
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Title of host publication | CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems |
Editors | Florian ‘Floyd’ Mueller, Penny Kyburz, Julie R. Williamson, Corina Sas, Max L. Wilson, Phoebe Toups Dugas, Irina Shklovski |
Place of Publication | New York, NY |
Publisher | Association for Computing Machinery |
Number of pages | 17 |
ISBN (print) | 979-8-4007-0330-0 |
Publication status | Published - 2024 |
Conference
Title | 2024 ACM CHI Conference on Human Factors in Computing Systems (CHI 2024) |
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Location | Hybrid |
Place | United States |
City | Honolulu |
Period | 11 - 16 May 2024 |
Link(s)
Abstract
Hand gestures are widely used in daily life for expressing emotions, yet gesture input is not part of existing emotion tracking systems. To seek a practical and effortless way of using gestures to inform emotions, we explore the relationships between gestural features and commonly experienced emotions by focusing on single-hand gestures that are easy to perform and capture. First, we collected 756 gestures (in photo and video pairs) from 63 participants who expressed different emotions in a survey, and then interviewed 11 of them to understand their gesture-forming rationales. We found that the valence and arousal level of the expressed emotions significantly correlated with participants’ finger-pointing direction and their gesture strength, and synthesized four channels through which participants externalized their expressions with gestures. Reflecting on the findings, we discuss how emotions can be characterized and contextualized with gestural cues and implications for designing multimodal emotion tracking systems and beyond. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.
Research Area(s)
- Emotion capture, gesture interaction, gesture elicitation
Citation Format(s)
Emotion Embodied: Unveiling the Expressive Potential of Single-Hand Gestures. / Luo, Yuhan; Yu, Junnan; Liang, Minhui et al.
CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems. ed. / Florian ‘Floyd’ Mueller; Penny Kyburz; Julie R. Williamson; Corina Sas; Max L. Wilson; Phoebe Toups Dugas; Irina Shklovski. New York, NY: Association for Computing Machinery, 2024. 404.
CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems. ed. / Florian ‘Floyd’ Mueller; Penny Kyburz; Julie R. Williamson; Corina Sas; Max L. Wilson; Phoebe Toups Dugas; Irina Shklovski. New York, NY: Association for Computing Machinery, 2024. 404.
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review