Paperdoi:10.1109/TVCG.2026.3747427
Too Close for Comfort: Continuous Anxiety Decoding from Physiology and Embodied Signals in Social VR
IEEE Transactions on Visualization and Computer Graphics (early access)
TL;DR
N=108 in five self-paced multi-agent social VR scenes; sync EDA+PPG+RSP+eye-tracking + locomotion/proxemics; continuous retrospective anxiety. BiLSTM excellent within-person; cross-participant drops; prospective prediction dominated by autoregressive prior with modest sensor gain.
- Subjects: 108
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Cite this paper
Park, J., Kang, J., & Wallraven, C. (2026). Too Close for Comfort: Continuous Anxiety Decoding from Physiology and Embodied Signals in Social VR. IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.1109/TVCG.2026.3747427
Park, J., J.C. Kang, and C. Wallraven. 2026. "Too Close for Comfort: Continuous Anxiety Decoding from Physiology and Embodied Signals in Social VR." IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.1109/TVCG.2026.3747427.
Park, J., Kang, J. and Wallraven, C. (2026) 'Too Close for Comfort: Continuous Anxiety Decoding from Physiology and Embodied Signals in Social VR', IEEE Transactions on Visualization and Computer Graphics. doi: 10.1109/TVCG.2026.3747427.
Park, J., et al. "Too Close for Comfort: Continuous Anxiety Decoding from Physiology and Embodied Signals in Social VR." IEEE Transactions on Visualization and Computer Graphics, 2026. https://doi.org/10.1109/TVCG.2026.3747427.
J. Park, J. Kang, and C. Wallraven, "Too Close for Comfort: Continuous Anxiety Decoding from Physiology and Embodied Signals in Social VR," IEEE Transactions on Visualization and Computer Graphics, 2026, doi: 10.1109/TVCG.2026.3747427.
@article{park2026close,
title = {{Too Close for Comfort: Continuous Anxiety Decoding from Physiology and Embodied Signals in Social VR}},
author = {Park, J. and Kang, J.C. and Wallraven, C.},
year = {2026},
journal = {IEEE Transactions on Visualization and Computer Graphics},
doi = {10.1109/TVCG.2026.3747427}
}Added to the ChatPPG research hub