Affordance Analysis of Virtual and Augmented Reality Mediated Communication

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PubDate: Apr 2019

Teams: University of California

Writers: Mohammad Keshavarzi, Michael Wu, Michael N. Chin, Robert N. Chin, Allen Y. Yang

PDF: Affordance Analysis of Virtual and Augmented Reality Mediated Communication

Affordance Analysis of Virtual and Augmented Reality Mediated Communication

Abstract

Virtual and augmented reality communication platforms are seen as promising modalities for next-generation remote face-to-face interactions. Our study attempts to explore non-verbal communication features in relation to their conversation context for virtual and augmented reality mediated communication settings. We perform a series of user experiments, triggering nine conversation tasks in 4 settings, each containing corresponding non-verbal communication features. Our results indicate that conversation types which involve less emotional engagement are more likely to be acceptable in virtual reality and augmented reality settings with low-fidelity avatar representation, compared to scenarios that involve high emotional engagement or intellectually difficult discussions. We further systematically analyze and rank the impact of low-fidelity representation of micro-expressions, body scale, head pose, and hand gesture in affecting the user experience in one-on-one conversations, and validate that preserving micro-expression cues plays the most effective role in improving bi-directional conversations in future virtual and augmented reality settings.

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