发表机构
University of Michigan; Incheon National University（密歇根大学; 仁川国立大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
研究博物馆中机器人导游，提出结合实体与虚拟智能体的混合导游系统，经30人受试者内研究验证，发现其提升女性学习表现，各条件下参与度和体验质量一致，且无论性别参与者都更偏好混合智能体团队。
AI 中文摘要
机器人越来越多地融入日常场景，包括博物馆，它们既能娱乐游客也能进行教育。为增强游客体验与参与度，我们提出一种新型混合智能体导游系统，它将实体机器人与投影虚拟智能体相结合，通过对话和互动积极参与游览，从单一平台实现两个移动智能体的交互丰富性。我们通过一项有30名参与者的受试者内研究来验证该系统，评估参与度、体验质量和学习表现。参与者体验不同对话风格和智能体配置，通过调查、行为传感器和访谈收集数据。结果表明各条件下参与度和体验质量保持一致。学习表现显示出显著的性别调节差异：混合智能体条件提高了女性参与者的学习表现。这表明本文提出的二元对话风格对不同性别的学习表现有不同影响。尽管如此，在访谈中，无论性别，参与者都表示更偏好混合智能体团队，称互动是他们体验中的关键因素。
英文摘要
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.
CommentsAccepted on IROS 2026, 8 pages
