Score: 0

Head, posture, and full-body gestures in dyadic conversations

Published: December 3, 2025 | arXiv ID: 2512.03636v2

By: Ľuboš Hládek, Bernhard U. Seeber

Potential Business Impact:

Body language helps us talk better in noisy places.

Business Areas:
Motion Capture Media and Entertainment, Video

When face-to-face communication becomes effortful due to background noise and interfering talkers, the role of visual cues becomes increasingly important for communication success. While previous research has selectively investigated head or hand movements, here we explore the combination of movements of head, hand and the whole body in acoustically adverse conditions. We hypothesize that with increasing background noise level, the frequency of typical conversational movements of hand, head, trunk, and legs increases to support the speakers role while the listeners support their role by increased use of confirmative head gestures and head and trunk movements to increase the signal-to-noise ratio. We conducted a dyadic conversation experiment in which (n=8) normal hearing participants stood freely in an audiovisual virtual environment. The conversational movements were described by a newly developed labeling system for typical conversational movements, and the frequency of individual types was analyzed. Increased levels of background noise led to increased hand-gesture complexity and modulation of head movements without a clear pattern. People leaned forward slightly more and used less head movements during listening than during speaking. Additional analysis of hand-speech synchrony with hypothesized loss of synchrony due to the background noise showed a modest decrease of synchrony in terms of increased standard deviation at moderate sound levels. The results support previous findings in terms of the gesturing frequency, and we found a limited support for the changes in speech-gesture synchrony. The work reveals communication patterns of the whole body and exemplifies interactive communication in context of multimodal adaptation to communication needs.

Country of Origin
🇩🇪 Germany

Page Count
29 pages

Category
Computer Science:
Human-Computer Interaction