Jinwook Kim, Hyuckjin Jang, Jihyeon Lee, Sihyeon Jeong, Jeongmi Lee, 2023

Besides games, the scenario where VR can be used the most is remote collaboration. For this reason, many companies attempt to develop collaboration tools for connecting multi-users, researchers have also actively investigated studies related to existing social interactions in a remote VR environment. In particular, many social cues based on VR’s unique characteristics have been proposed to overcome the limitation of being unable to bring communication cues (facial expression, gaze, etc.) used for human interaction in reality. However, it is not easy to quantitatively measure real-time status because conventional methods like questionnaires and interviews are mainly used as evaluation criteria for these cues. As VR devices integrated with EEG have recently come out, this biometric-based application is expected to be more actively utilized. In this study, we aim to develop and present Social Cue Evaluation indicators based on biometric data in the remote collaboration scenario.