Spectral analysis of EEG patterns in social engagement between virtual human-avatar and human

Myoung Ju Won, Sang-in Park, Sung Teac Hwang, and Min-cheol Whang

Abstract

'Presence' is tool for evaluating the quality of virtual realization and is used as a major factor the measure the degree of the acceptance of a virtual environment as reality. These days, one of the most significant current discussion in virtual reality is 'social engagement'. Social engagement has been defined as the sense of "being with others", "level of awareness of the co-presence of another human, being or intelligence", "the degree of salience of the other person in the interaction", and the "feeling that one has some level of access or insight into the other's intentional, cognitive, or affective states". Thus, this study will evaluate the social engagement on the basis of the human and virtual avatar. We studied these social engagement mechanisms by presenting a social interaction task that consisted of reality (face-to-face) and virtual reality (coexistent reality space) task. The subjects were asked that facial expression imitate other's facial expression. The experiment is performed by measuring power spectrum of EEG for two groups (human, virtual avatar) respectively. The results of the power spectrum of EEG confirmed that human (face-to-face group) increased alpha, beta, gamma wave. This study showed the brain mechanism to be related the social engagement and brain power spectrum activities in subjects, using reality and virtual reality to social interaction. The result is expected to contribute to evaluation model express realistic avatar, and the social engagement result factors suggested in this study are expected to serve as the basic data for designing social engagement model.

Acknowledgements: This work was supported by the Global Frontier R&D Program on <Human-centered Interaction for Coexistence> funded by the National Research Foundation of Korea grant funded by the Korean Government (MSIP) (2014-002975