Gesture Evaluation in Virtual Reality

Fuente: arXiv
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Main Authors: Werner, Axel Wiebe, Beskow, Jonas, Deichler, Anna
Format: Preprint
Published: 2025
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_version_ 1866915496784297984
author Werner, Axel Wiebe
Beskow, Jonas
Deichler, Anna
author_facet Werner, Axel Wiebe
Beskow, Jonas
Deichler, Anna
contents Gestures are central to human communication, enriching interactions through non-verbal expression. Virtual avatars increasingly use AI-generated gestures to enhance life-likeness, yet evaluations have largely been confined to 2D. Virtual Reality (VR) provides an immersive alternative that may affect how gestures are perceived. This paper presents a comparative evaluation of computer-generated gestures in VR and 2D, examining three models from the 2023 GENEA Challenge. Results show that gestures viewed in VR were rated slightly higher on average, with the strongest effect observed for motion-capture "true movement." While model rankings remained consistent across settings, VR influenced participants' overall perception and offered unique benefits over traditional 2D evaluation.
format Preprint
id arxiv_https___arxiv_org_abs_2509_12816
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Gesture Evaluation in Virtual Reality
Werner, Axel Wiebe
Beskow, Jonas
Deichler, Anna
Human-Computer Interaction
Artificial Intelligence
Computer Vision and Pattern Recognition
Machine Learning
68T50, 68T07, 68U35
H.5.1; H.5.2; I.2.10; I.3.7
Gestures are central to human communication, enriching interactions through non-verbal expression. Virtual avatars increasingly use AI-generated gestures to enhance life-likeness, yet evaluations have largely been confined to 2D. Virtual Reality (VR) provides an immersive alternative that may affect how gestures are perceived. This paper presents a comparative evaluation of computer-generated gestures in VR and 2D, examining three models from the 2023 GENEA Challenge. Results show that gestures viewed in VR were rated slightly higher on average, with the strongest effect observed for motion-capture "true movement." While model rankings remained consistent across settings, VR influenced participants' overall perception and offered unique benefits over traditional 2D evaluation.
title Gesture Evaluation in Virtual Reality
topic Human-Computer Interaction
Artificial Intelligence
Computer Vision and Pattern Recognition
Machine Learning
68T50, 68T07, 68U35
H.5.1; H.5.2; I.2.10; I.3.7
url https://arxiv.org/abs/2509.12816