ArticleScientific reports2020
Facial expressions contribute more than body movements to conversational outcomes in avatar-mediated virtual environments.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
10 citing papers in PubMed.
- A randomised controlled test of emotional attributes of a virtual coach within a virtual reality (VR) mental health treatment.Scientific reports · 2023Trial
- Mismatching Expressions: Spatiotemporal and Kinematic Differences in Autistic and Non-Autistic Facial Expressions.Autism research : official journal of the International Society for Autism Research · 2026Article
- Crisis support teams' technological openness and learning attitudes toward the AI based virtual patient systemFrontiers in digital health · 2026Article
- Older and younger adults' perceptions of augmented reality photorealistic avatars as a viable medium for interpersonal communication.Innovation in aging · 2025Article
- Avatar customization, social presence, and eHealth literacy: understanding user adoption of virtual hospitals for public health innovation.Frontiers in public health · 2025Article
- Facial representations of complex affective states combining pain and a negative emotion.Scientific reports · 2024Article
- Article
- Influence of agent's self-disclosure on human empathy.PloS one · 2023Article
- The Components of Interpersonal Synchrony in the Typical Population and in Autism: A Conceptual Analysis.Frontiers in psychology · 2022Review
- Exploring the "Dark Matter" of Social Interaction: Systematic Review of a Decade of Research in Spontaneous Interpersonal Coordination.Frontiers in psychology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study focuses on the individual and joint contributions of two nonverbal channels (i.e., face and upper body) in avatar mediated-virtual environments. 140 dyads were randomly assigned to communicate with each other via platforms that differentially activated or deactivated facial and bodily nonverbal cues. The availability of facial expressions had a positive effect on interpersonal outcomes. More specifically, dyads that were able to see their partner's facial movements mapped onto their avatars liked each other more, formed more accurate impressions about their partners, and described their interaction experiences more positively compared to those unable to see facial movements. However, the latter was only true when their partner's bodily gestures were also available and not when only facial movements were available. Dyads showed greater nonverbal synchrony when they could see their partner's bodily and facial movements. This study also employed machine learning to explore whether nonverbal cues could predict interpersonal attraction. These classifiers predicted high and low interpersonal attraction at an accuracy rate of 65%. These findings highlight the relative significance of facial cues compared to bodily cues on interpersonal outcomes in virtual environments and lend insight into the potential of automatically tracked nonverbal cues to predict interpersonal attitudes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.