Nods of Agreement: Webcam-Driven Avatars Improve Meeting Outcomes and Avatar Satisfaction Over Audio-Driven or Static Avatars in All-Avatar Work Videoconferencing

Authors: Fang Ma, Ju Zhang, Lev Tankelevitch, Payod Panda, Torang Asadi, Charlie Hewitt, Lohit Petikam, James Clemoes, Marco Gillies, Xueni Pan, Sean Rintel, Marta Wilczkowiak
Venue: CSCW 2025 (Proceedings of the ACM on Human-Computer Interaction 9(2), Article CSCW142, April 2025)

AThe study

Within-subjects experiment with 68 employees of a global technology company, in 16 groups of colleagues. Each group held three short decision meetings where everyone appeared as an avatar, once in each avatar mode, in counterbalanced order.

Five-minute decision meetingQuestionnaireFinally Webcam avatarsall 68 people Webcam drove each avatar's expressions and head movements Meeting outcomes and avatar ratings Finally: a 15-minute focus groupEach person chose their own avatar mode Voice avatarsall 68 people Each avatar's lips moved with the person's voice Meeting outcomes and avatar ratings Static avatarsall 68 people Each avatar was a still picture Meeting outcomes and avatar ratings

BThe avatars

  1. Make the avatarEach person's stylised avatar was generated from a short self video and two photographs, and each person chose from three versions.
  2. Join as the avatarAn app on each person's computer animated the avatar and fed it into the video meeting in place of the camera.
  3. Choose a modeThe app could show the avatar still, move its lips with the voice, or copy the face from the webcam.still picturevoice lip movementwebcam expressions and nods

The same colleagues met in all three modes, so each mode was compared with the others.

CWhat changed

Meeting outcomeseach mode compared, with the same colleagues

  • ↑Webcam avatars: more participants said the group reached a decision.Self-reported, 96% against 79% with static avatars. Against voice avatars, at 87%, the difference was not reliable.
  • ↑Webcam avatars: participants felt more comfortable in the meeting.Self-reported on 5-point scales, higher than with voice or static avatars.
  • ↑Webcam avatars: participants felt more included in the meeting.Self-reported on 5-point scales, higher than with voice or static avatars.
  • –Webcam avatars: agreement with the group's decision was about the same as other modes.Self-reported. In written comments, 33 of 50 respondents felt the avatar mode did not affect group decisions.
  • –Voice avatars: no meeting outcome improved over static avatars.Self-reported. Participants did rate voice avatars as more expressive than static pictures.

Choice and commentsthe closing focus group and written comments

  • Webcam avatars: 65 of 68 participants chose them for the focus group.One participant wrote that the webcam avatar felt expressive without the privacy cost of a full camera.
  • Webcam avatars: written comments valued movement such as nods and smiles over realism.Every comment theme linked to both preference and meeting outcomes concerned movement, such as expressiveness and non-verbal cues.

↑ better than with voice-driven or static avatars ↓ worse – no reliable difference

DKey takeaway

In meetings where everyone is an avatar, motion that carries feedback, such as nods and smiles, can make people comfortable and included. Motion fidelity may matter more than visual fidelity.

Made for this site with AI assistance from the verified research brief. It is not the paper's own figure.

Abstract

Avatars are edging into mainstream videoconferencing, but evaluation of how avatar animation modalities contribute to work meeting outcomes has been limited. We report a within-group videoconferencing experiment in which 68 employees of a global technology company, in 16 groups, used the same stylized avatars in three modalities (static picture, audio-animation, and webcam-animation) to complete collaborative decision-making tasks. Quantitatively, for meeting outcomes, webcam-animated avatars improved meeting effectiveness over the picture modality and were also reported to be more comfortable and inclusive than both other modalities. In terms of avatar satisfaction, there was a similar preference for webcam animation as compared to both other modalities. Our qualitative analysis shows participants expressing a preference for the holistic motion of webcam animation, and that meaningful movement outweighs realism for meeting outcomes, as evidenced through a systematic overview of ten thematic factors. We discuss implications for research and commercial deployment and conclude that webcam-animated avatars are a plausible alternative to video in work meetings.

Research brief

By Fang Ma, Ju Zhang, Lev Tankelevitch, Payod Panda, Torang Asadi, Charlie Hewitt, Lohit Petikam, James Clemoes, Marco Gillies, Xueni Pan, Sean Rintel, and Marta Wilczkowiak.

Takeaway: In all-avatar work meetings, meaningful movement beats realism. Webcam-driven nods and smiles made colleagues more comfortable and included than lip-synced or static avatars, because they gave visible feedback, though alignment with group decisions did not differ.

Why this matters

What was known
Microsoft Teams and Zoom introduced stylised avatars in 2023, with limited animation. Prior research showed motion fidelity matters more than visual fidelity for trust and self-identification, but its link to work meeting outcomes was unclear. (§1, p. 2)
What this paper adds
A controlled comparison with real colleagues of three avatar animation modalities (static picture, audio-animated, webcam-animated) on meeting outcomes and avatar satisfaction, plus a thematic framework of ten factors. (§1, p. 3)
Who it matters to
Researchers of avatar-mediated communication and the industrial designers building avatars for videoconferencing, and people who prefer not to, or cannot, use video at work. (§6, p. 23)

Research questions

Method and data

Design
Within-subjects, mixed-methods experiment. Each group used all three animation modalities, in an order counterbalanced across groups with a Latin square.
Prototype
Personalised stylised avatars for video meetings. Each participant's avatar was generated from a short self video and two photographs, using 3D face reconstruction, and participants chose from three versions in advance. A Unity3D application on their own computer animated the avatar and fed it into Microsoft Teams as a virtual camera, so others saw the avatar in place of video. It had three modes: a static picture of the avatar, audio animation, in which the avatar's lips moved with the person's voice, and webcam animation, in which the person's webcam drove the avatar's facial expressions and head movements. Each group met in all three modes.
Three panels: personalised stylised 3D avatar heads, the three ways an avatar was animated (webcam, audio or static), and a video meeting in which everyone appears as an avatar.
Fig. 1. An overview of the experimental study. a) A personalized 3D stylized avatar was generated for each participant, using their photos with facial landmarks, and preserving diverse personal features like beards, glasses, and hairstyles. b) Participants used their avatars in 3 modalities: static picture, audio-animated and webcam-animated, affecting their head movements and expressions (see supplementary video). c) Participants used the avatars in a videoconferencing meeting, during which they engaged in three group decision-making tasks, one for each avatar modality. Meeting outcomes and avatar satisfaction were measured after each task and compared. From the paper, Figure 1, p. 1.
Setting
Microsoft Teams meetings in gallery view in which everyone, including the moderator, appeared as an avatar. Three five-minute group decision-making tasks, each followed by a questionnaire, then a 15-minute focus group in which participants chose their own mode.
Participants / data
68 employees of a global technology company, in 16 groups of colleagues who already worked together (44 male, 24 female).
Duration
About one hour per session.
Analysis
Test of Proportions for effectiveness and Wilcoxon Signed-Rank tests for 5-point measures. Inductive then deductive thematic analysis of free-text responses (50 of 68 participants responded).

Findings

Questions this paper answers

Are animated avatars good enough to replace video in work meetings?
We argue webcam-animated avatars are a plausible alternative where video is impractical, though we did not test them against video. Compared with static or lip-synced avatars, they made colleagues feel more comfortable and included, and 95.6% chose them. (See §4.2.1, p. 15; §4.2.1, p. 16.)
Does avatar animation help teams reach decisions in video meetings?
Somewhat. More people said their group reached a decision with webcam-animated avatars than with static pictures. It was not significantly more than with audio-animated ones, and agreement with the decision did not differ. Many credited task complexity and team familiarity more than the avatars. (See §4.2.2, p. 18; §4.2.1, p. 15; §4.2.2, p. 18.)
Is lip-sync animation enough for meeting avatars?
Not for meeting outcomes. Audio-driven mouth movement made avatars seem more expressive than static pictures, but it did not improve effectiveness, alignment, comfort or inclusivity. Head and face motion from the webcam did more. (See §5.2, p. 19; §5.3, p. 20.)
Do people want others to read their expressions in meetings?
Not always. Some people seemed to want to be harder to read themselves, while wanting others animated so they could read their feelings. One found the webcam-animated avatar tiring because it meant being more 'on'. Earlier avatar and video-call research reports the same tension. (See §4.2.1, p. 15; §5.3, p. 20.)

Quantitative results

MeasureResultWhere
Participants who said the group reached agreement: webcam, audio, static96%, 87%, 79%Table 2, p. 13
Effectiveness, webcam vs static (Test of Proportions)z = 2.85, p = 0.004§4.1, p. 11
Effectiveness, webcam vs audioz = 1.81, p = 0.070§4.1, p. 11
Comfort, webcam vs audio; webcam vs static (Wilcoxon)T = 146, z = 2.46, p = .014; T = 474, z = 3.05, p = .002Table 2, p. 13
Inclusivity, webcam vs audio; webcam vs static (Wilcoxon)T = 581, z = 2.68, p = .007; T = 541, z = 2.92, p = .003Table 2, p. 13
Chose webcam-animated avatar for the focus group65 participants (95.6%)§4.1, p. 12
Felt avatar modality had no influence on group decision making66% of participants (33 out of 50)§4.2, p. 18

Contributions and implications

Limitations

›

Concepts

Avatar animation modality
How an avatar is animated. The three conditions compared: no animation (picture), audio-animation (visemes), and webcam-animation (visemes, facial expressions, and head movements) (§1, p. 2)
Meeting outcome factors
Effectiveness (did the group reach a decision), alignment (agreement with it), comfort and inclusivity. (§2.2, p. 5)
Avatar satisfaction factors
How well one's own avatar and others' avatars express themselves, and which modality people choose. (§2.2, p. 5)
Motion fidelity vs visual fidelity
How faithfully an avatar moves, as opposed to how realistic it looks. outcome-oriented research on avatars has consistently shown that motion fidelity is more important than visual fidelity (§2.1, p. 4)

Figures

Four violin plots comparing webcam, audio and static avatars. Webcam beats static on effectiveness. Webcam beats both on comfort and inclusivity. Alignment shows no differences (ns) between any modalities.
Fig. 3. Quantitative results comparing the three avatar modalities on the outcomes of meeting effectiveness, alignment, comfort, and inclusivity. Violin plots depict distributions of numeric data using density curves. Red dots and lines depict individual responses, illustrating comparisons across the three modalities. Black crosses indicate mean values. For effectiveness, a yes/no response scale was used to measure whether the meeting reached an agreed decision. For alignment, comfort, and inclusivity, a five-point response scale was used, where 1 indicates 'low' and 5 indicates 'high' on the response scale, respectively. * indicates p < 0.05, ** indicates p < 0.01, 'ns' indicates not statistically significant. From the paper, Fig. 3, p. 12.
Three panels: personalised stylised 3D avatar heads, the three ways an avatar was animated (webcam, audio or static), and a video meeting in which everyone appears as an avatar.
Fig. 1. An overview of the experimental study. a) A personalized 3D stylized avatar was generated for each participant, using their photos with facial landmarks, and preserving diverse personal features like beards, glasses, and hairstyles. b) Participants used their avatars in 3 modalities: static picture, audio-animated and webcam-animated, affecting their head movements and expressions (see supplementary video). c) Participants used the avatars in a videoconferencing meeting, during which they engaged in three group decision-making tasks, one for each avatar modality. Meeting outcomes and avatar satisfaction were measured after each task and compared. From the paper, Figure 1, p. 1.

How to cite

Fang Ma, Ju Zhang, Lev Tankelevitch, Payod Panda, Torang Asadi, Charlie Hewitt, Lohit Petikam, James Clemoes, Marco Gillies, Xueni Pan, Sean Rintel, and Marta Wilczkowiak. 2025. Nods of Agreement: Webcam-Driven Avatars Improve Meeting Outcomes and Avatar Satisfaction Over Audio-Driven or Static Avatars in All-Avatar Work Videoconferencing. CSCW 2025. https://doi.org/10.1145/3711040

This brief was prepared with AI assistance and published by Sean Rintel. It is not the authors' published text. Page numbers refer to this PDF.

BibTeX

@inproceedings{ma2025nods,
author = {Ma, Fang and Zhang,  Ju and Tankelevitch, Lev and Panda, Payod and Asadi, Torang and Hewitt, Charlie and Petikam, Lohit and Clemoes, James and Gillies, Marco and Pan, Xueni and Rintel, Sean and Wilczkowiak, Marta},
title = {Nods of Agreement: Webcam-Driven Avatars Improve Meeting Outcomes and Avatar Satisfaction Over Audio-Driven or Static Avatars in All-Avatar Work Videoconferencing},
booktitle = {CSCW 2025},
year = {2025},
month = {April},
publisher = {ACM},
note = {Proc. ACM Hum.-Comput. Interact. 9, 2, Article CSCW142 (April 2025)},
url = {https://doi.org/10.1145/3711040},
doi = {10.1145/3711040},
}