We demonstrate an HMD-based annotation tool for collecting precise emotion ground truth labels while users are watching 360° videos in Virtual Reality (VR). Our tool uses an HTC VIVE Pro Eye HMD for displaying 360° videos, a Joy-Con controller for inputting emotion annotations, and an Empatica E4 wristband for capturing physiological signals. Timestamps of these devices are synchronized via an NTP server. Following dimensional emotion models, users can report their emotion in terms of valence and arousal as they watch a video in VR. Annotation feedback is provided through two peripheral visualization techniques: HaloLight and DotSize. Our annotation tool provides a starting point for researchers to design momentary and continuous self-reports in virtual environments to enable fine-grained emotion recognition.

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IEEE International Conference on Artificial Intelligence & Virtual Reality
Distributed and Interactive Systems

Xue, X, Ding, G, El Ali, A, & César Garcia, P.S. (2020). Annotation tool for precise emotion ground truth label acquisition while 360° VR videos. In Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality (pp. 371–372). doi:10.1109/AIVR50618.2020.00076