Personality Expression Using Co-Speech Gesture

We express our personality through verbal and nonverbal behavior. While verbal cues are mostly related to the semantics of what we say, nonverbal cues include our posture, gestures, and facial expressions. Appropriate expression of these behavioral elements improves conversational virtual agents’ communication capabilities and realism. Although previous studies focus on co-speech gesture generation, they do not consider the personality aspect of the synthesized animations. We show that automatically generated co-speech gestures naturally express personality traits, and heuristics-based adjustments for such animations can further improve personality expression. To this end, we present a framework for enhancing co-speech gestures with the different personalities of the Five-Factor model. Our experiments suggest that users perceive increased realism and improved personality expression when combining heuristics-based motion adjustments with co-speech gestures.

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Publication Details

Journal
ACM Transactions on Applied Perception
Published
2024-09-09
DOI
https://doi.org/10.1145/3694905
Citations
2
Primary Topic
Human Motion and Animation
Type
article
Field-Weighted Citation Impact
0.66
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article

Personality Expression Using Co-Speech Gesture

Si̇nan Sonlu, Uğur Güdükbay, Hali̇l Özgür Demir
2 citations
ACM Transactions on Applied Perception
Human Motion and Animation
0.66
article

Personality Expression Using Co-Speech Gesture

Si̇nan Sonlu, Uğur Güdükbay, Hali̇l Özgür Demir
article en
2 citations

Abstract

We express our personality through verbal and nonverbal behavior. While verbal cues are mostly related to the semantics of what we say, nonverbal cues include our posture, gestures, and facial expressions. Appropriate expression of these behavioral elements improves conversational virtual agents’ communication capabilities and realism. Although previous studies focus on co-speech gesture generation, they do not consider the personality aspect of the synthesized animations. We show that automatically generated co-speech gestures naturally express personality traits, and heuristics-based adjustments for such animations can further improve personality expression. To this end, we present a framework for enhancing co-speech gestures with the different personalities of the Five-Factor model. Our experiments suggest that users perceive increased realism and improved personality expression when combining heuristics-based motion adjustments with co-speech gestures.

ACM Transactions on Applied PerceptionVol. 22(2)
Bilkent University (TR)
Openalex Percentile: Top 30%
Human Motion and Animation
0.66
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