Emotion Embodied : Unveiling the Expressive Potential of Single-Hand Gestures

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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Author(s)

  • Junnan Yu
  • Yichen Wan
  • Shannon Sie Santonsa

Detail(s)

Original languageEnglish
Title of host publicationCHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems
EditorsFlorian ‘Floyd’ Mueller, Penny Kyburz, Julie R. Williamson, Corina Sas, Max L. Wilson, Phoebe Toups Dugas, Irina Shklovski
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery
Number of pages17
ISBN (print)979-8-4007-0330-0
Publication statusPublished - 2024

Conference

Title2024 ACM CHI Conference on Human Factors in Computing Systems (CHI 2024)
LocationHybrid
PlaceUnited States
CityHonolulu
Period11 - 16 May 2024

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.

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review