Interactive virtual reality speech simulation system using autonomous audience with natural non-verbal behavior

Justin Andrew Liao, Nobuyuki Jincho, Hideaki Kikuchi

    Research output: Contribution to journalArticle

    1 Citation (Scopus)

    Abstract

    Public speaking anxiety (PSA) is a fear of speaking in front of others. Most people experience a certain amount of anxiety in public speaking situation. This study aims to help people overcome PSA using an interactive VR simulation system with real-life scenarios. We present a multimodal VR speech simulation system using autonomous audience with natural non-verbal behavior to enhance users' sense of presence. Additionally, real-time multimodal feedback is produced by virtual audience based on users' public speaking behavior which automatically analyzed by multimodal sensors (e.g. microphone, motion capture, heart rate monitor). We perform an evaluation based on self-assessment questionnaires and biometry to investigate three study conditions: (I) control condition (baseline), (II) interactive virtual audience, and (III) virtual audience with natural non-verbal behavior. We divided participants into two groups with different conditions: interactive virtual audience condition (n = 7) and virtual audience with nature non-verbal behavior condition (n = 9). The results indicate that the usage of a virtual audience with natural non-verbal behavior increased a higher sense of presence and more anxiety-provoking.

    Original languageEnglish
    Pages (from-to)404-407
    Number of pages4
    JournalInternational Journal of Machine Learning and Computing
    Volume8
    Issue number4
    DOIs
    Publication statusPublished - 2018 Aug 1

    Keywords

    • Autonomous virtual audience
    • Non-verbal behavior
    • Public speaking anxiety
    • Virtual reality

    ASJC Scopus subject areas

    • Computer Science Applications
    • Information Systems and Management
    • Artificial Intelligence

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