Key result
AVDOS-VR database successfully captures continuous valence and arousal self-ratings alongside physiological responses in VR settings.
Why the study?
Creating precise affect models requires extensive datasets, but affective datasets associated with videos are comparatively scarce.
Observational (n=37)
No
The AVDOS-VR database provides a novel, ecologically valid dataset of continuous self-ratings and physiological measures collected remotely in virtual reality to advance affective computing research.
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May support VR affective computing tools; leaves open clinical validation before any patient use.
Gnacek et al. (2024) conducted an observational in Healthy participants (n=37). Virtual reality affective video viewing (AVDOS-VR) was evaluated on Validation of continuous self-ratings and physiological measures in VR. The AVDOS-VR database successfully captured continuous valence and arousal self-ratings alongside physiological responses (PPG, facial-EMG, IMU) from 37 participants in remote and laboratory VR settings.
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