混合代理导览系统提升女性学习效果与游客偏好。
Mixed-Agent Museum Tour Guide Design Improves Gendered Learning Outcomes and Visitor Preferences
- 融合实体机器人与投影虚拟代理，实现双代理互动体验。
- 女性参与者在混合代理模式下学习表现显著提升。
- 用户普遍更偏爱混合代理组合，互动性是关键体验因素。
机器人正越来越多地融入日常场景，如博物馆，既能娱乐又能教育访客。为提升访客体验与参与度，本文提出一种新型混合代理导览系统，将实体机器人与投影虚拟代理结合，通过对话与互动主动参与导览，仅用一个平台即实现双移动代理的交互丰富性。通过30名参与者的真实受试研究，评估了参与度、体验质量与学习表现。参与者体验不同对话风格与代理配置，数据通过问卷、行为传感器与访谈收集。结果显示，各条件下参与度与体验质量保持一致；学习表现呈现显著性别调节效应：混合代理条件显著提升了女性参与者的学业表现。这表明本文提出的双人对话模式对不同性别的学习效果有差异影响。然而，访谈中所有参与者均表示更偏好混合代理团队，认为互动是其体验的关键因素。
原文摘要 · Abstract (English)
Robots are increasingly integrated into everyday contexts, including museums, where they can both entertain and educate visitors. To enhance visitor experience and engagement, we present a novel mixed-agent tour guide system that combines a physical robot with a projected virtual agent that actively participates in the tour through conversation and interaction, achieving the interaction richness of two mobile agents from a single platform. We validate the system through a within-subjects study with 30 participants to assess engagement, quality of experience, and learning performance. Participants experienced different conversational styles and agent configurations, and data were collected via surveys, behavioral sensors, and interviews. Results showed that engagement and quality of experience remained consistent across conditions. Learning performance revealed a significant gender-moderated difference: the mixed-agent conditions improved learning performance for female participants. This suggests that the proposed dyadic conversational style in this paper influenced learning performance differently by gender. Nonetheless, in interviews, participants reported a greater preference for mixed-agent teams regardless of gender, citing interaction as a key factor in their experience.
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