"May I Speak?": Multi-Modal Attention Guidance in Social VR Group Conversations
Geonsun Lee, Dae Yeol Lee, Guan-Ming Su, Dinesh Manocha
Abstract
In this paper, we present a novel multi-modal attention guidance method designed to address the challenges of turn-taking dynamics in meetings and enhance group conversations within virtual reality (VR) environments. Recognizing the difficulties posed by a confined field of view and the absence of detailed gesture tracking in VR, our proposed method aims to mitigate the challenges of noticing new speakers attempting to join the conversation. This approach tailors attention guidance, providing a nuanced experience for highly engaged participants while offering subtler cues for those less engaged, thereby enriching the overall meeting dynamics. Through group interview studies, we gathered insights to guide our design, resulting in a prototype that employs light as a diegetic guidance mechanism, complemented by spatial audio. The combination creates an intuitive and immersive meeting environment, effectively directing users' attention to new speakers. An evaluation study, comparing our method to state-of-the-art attention guidance approaches, demonstrated significantly faster response times (p < 0.001), heightened perceived conversation satisfaction (p < 0.001), and preference (p < 0.001) for our method. Our findings contribute to the understanding of design implications for VR social attention guidance, opening avenues for future research and development.
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Cited by top-tier papers3
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- DialogLab: Authoring, Simulating, and Testing Dynamic Human-AI Group ConversationsErzhen Hu, Yanhe Chen, Mingyi Li, Vrushank Phadnis et al.UIST 2025 · 3 citations
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- Challenges of Moderating Social Virtual RealityNazanin Sabri, Bella Chen, Annabelle Teoh, Steven P. Dow et al.CHI 2023 · 40 citations
- Predicting Opportune Moments to Deliver Notifications in Virtual RealityKuan-Wen Chen, Yung-Ju Chang, Liwei ChanCHI 2022 · 38 citations
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