Score: 0

Head, posture, and full-body gestures in interactive communication

Published: December 3, 2025 | arXiv ID: 2512.03636v1

By: Ľuboš Hládek, Bernhard U. Seeber

Potential Business Impact:

People move their whole bodies more when it's noisy.

Business Areas:
Motion Capture Media and Entertainment, Video

When face-to-face communication becomes effortful due to background noise or interfering talkers, the role of visual cues becomes increasingly important for communication success. While previous research has selectively examined head or hand movements, here we explore movements of the whole body in acoustically adverse conditions. We hypothesized that increasing background noise in conversations would lead to increased gesture frequency in hand, head, trunk, and leg movements typical of conversation. Increased use of hand movements should support the speaker's role, while increased head and trunk movements may help the listener. We conducted a free dyadic conversation experiment with normal-hearing participants (n=8) in a virtual acoustic environment. Conversational movements were described with a newly developed labeling system for typical conversational actions, and the frequency of individual types was analyzed. In addition, we analyzed gesture quality by assessing hand-speech synchrony, with the hypothesis that higher levels of background noise would lead to a loss of synchrony according to an interactive coupling model. Higher noise levels led to increased hand-gesture complexity during speaking and listening, more pronounced up-down head movements, and contrary to expectations, head movements during listening generally decreased relative to speaking. Synchrony and peak velocity were unaffected by noise, while gesture quality scaled only modestly. The results support previous findings regarding gesturing frequency, but we found only limited evidence for changes in speech-gesture synchrony. This work reveals communication patterns of the whole body and illustrates multimodal adaptation to communication demands.

Country of Origin
🇩🇪 Germany

Page Count
30 pages

Category
Computer Science:
Human-Computer Interaction