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新论文 · v1arXiv:2611.17018

探索面向包容性小组对话的社会可接受3D反馈设计

Exploring Socially Acceptable 3D Feedback Design for Inclusive Small-Group Conversation

Qianjie Wei, Yifan Li, Zhen Bai

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该研究在XR小组对话场景中,探索如何通过幽默、降低社会注意和间接表达等策略设计公开3D反馈,使其既保持效果又提升社会可接受性。

cs.HC · cs.ET

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Prior research has shown that providing feedback on group dynamics can improve the quality of small-group conversations. However, publicly delivered feedback that targets specific individuals may reduce social acceptability due to negative experiences such as social pressure, embarrassment, and resistance. This work investigates how public feedback can be designed to remain socially acceptable while maintaining its effectiveness in XR-based small-group conversations. Informed by social science and HCI literature, we identified three design strategies (incorporate humor, reduce social attention, and use indirectness) and proposed a set of metaphor- and agent-based 3D feedback probes. We then conducted a two-phase study: (1) an online survey with 50 participants to examine how such feedback designs are perceived under public and private delivery, and (2) follow-up interviews with 14 participants who completed the survey to better understand their interpretations and elicit additional insights. Results show that metaphor- and agent-based feedback can reduce social discomfort while maintaining effectiveness. Interview findings further highlighted the role of three strategies in making feedback easier to accept, while requiring careful balance. We also discussed design implications for creating socially acceptable 3D feedback to support inclusive small-group conversations in XR.