Back

Avatar facial expressions enhance social presence and inter-brain synchronization in virtual reality

Kodama, H.; Higo, K.; Shimada, S.

2026-01-30 neuroscience
10.64898/2026.01.28.702209 bioRxiv
Show abstract

Virtual reality (VR) has become a prominent medium for computer-mediated social interaction, yet the psychological and neural mechanisms underpinning avatar-mediated communication remain insufficiently understood. This study investigated how dynamically modulated avatar facial expressions shape interpersonal interaction in VR. Pairs of participants engaged in a collaborative creativity task while interacting via avatars whose facial expressions were either amplified, natural, or expressionless. We collected subjective measures of body ownership, social presence, and interpersonal attraction, while simultaneously recording neural activity using functional near-infrared-spectroscopy-based hyperscanning to assess inter-brain synchrony (IBS). Avatars displaying facial expressions, particularly amplified ones, significantly enhanced body ownership, social presence, and interpersonal attraction compared to expressionless avatars. At the neural level, visible avatar facial expressions were associated with IBS in the right temporo-parietal junction (TPJ) and the dorsolateral prefrontal cortex (dlPFC), regions that are commonly implicated in social-cognitive processes such as mentalizing and executive control. Although task performance did not differ across conditions, social presence was positively correlated with creative performance, suggesting that psychological connectedness supports collaborative creativity. Together, these findings indicate that avatar facial expressivity functions as a critical nonverbal social cue that facilitates affective and cognitive alignment between interaction partners. By linking subjective experience with inter-brain neural dynamics, this study provides empirical guidance for the design of virtual environments that promote social engagement and effective collaboration.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Scientific Reports
3102 papers in training set
Top 0.3%
22.8%
2
Frontiers in Human Neuroscience
67 papers in training set
Top 0.1%
14.9%
3
eneuro
389 papers in training set
Top 1%
4.9%
4
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 19%
3.6%
5
PLOS ONE
4510 papers in training set
Top 38%
3.6%
6
Imaging Neuroscience
242 papers in training set
Top 1%
3.6%
50% of probability mass above
7
Advanced Science
249 papers in training set
Top 6%
3.3%
8
Neuroscience of Consciousness
12 papers in training set
Top 0.1%
2.9%
9
Consciousness and Cognition
17 papers in training set
Top 0.1%
2.9%
10
eLife
5422 papers in training set
Top 35%
2.1%
11
iScience
1063 papers in training set
Top 11%
1.9%
12
Frontiers in Psychiatry
83 papers in training set
Top 2%
1.8%
13
PLOS Computational Biology
1633 papers in training set
Top 15%
1.8%
14
Cerebral Cortex
357 papers in training set
Top 0.8%
1.7%
15
Frontiers in Behavioral Neuroscience
46 papers in training set
Top 0.4%
1.7%
16
Journal of Neuroscience Methods
106 papers in training set
Top 0.9%
1.7%
17
NeuroImage
813 papers in training set
Top 4%
1.5%
18
Journal of Cognitive Neuroscience
119 papers in training set
Top 1%
1.0%
19
Neuropsychologia
77 papers in training set
Top 0.9%
1.0%
20
Brain Sciences
52 papers in training set
Top 2%
0.8%
21
Human Movement Science
13 papers in training set
Top 0.3%
0.8%
22
Communications Biology
886 papers in training set
Top 21%
0.8%
23
Nature Communications
4913 papers in training set
Top 61%
0.8%
24
Behavior Research Methods
25 papers in training set
Top 0.2%
0.8%
25
npj Digital Medicine
97 papers in training set
Top 3%
0.8%
26
Frontiers in Psychology
49 papers in training set
Top 1%
0.8%
27
Scientific Data
174 papers in training set
Top 3%
0.7%
28
The Journal of Neuroscience
928 papers in training set
Top 9%
0.7%
29
Frontiers in Aging Neuroscience
67 papers in training set
Top 4%
0.5%
30
Nature Human Behaviour
85 papers in training set
Top 6%
0.5%