提出一套研究人机互动中空间与社交关系的可复用方法框架
The Space Between Us: A Methodological Framework for Researching Bonding and Proxemics in Situated Group-Agent Interactions
- 结合主观报告与客观空间追踪,融合亲缘学与联结理论
- 在博物馆场景下验证,187名参与者与机器人/虚拟代理互动
- 开源可扩展工具包,适合社会机器人与人机交互研究者使用
本文提出一种多方法框架,用于研究真实世界中群体与社交智能体互动中的空间与社会动态。基于亲缘学与联结理论,该方法融合主观自我报告与客观空间追踪技术。在两个博物馆实地研究中(共187名参与者),分别部署机器人与虚拟代理,解决人类感知与行为不一致的挑战。研究重点在于提供一个开源、可扩展且经实地验证的研究工具包,供未来相关研究使用。
原文摘要 · Abstract (English)
This paper introduces a multimethod framework for studying spatial and social dynamics in real-world group-agent interactions with socially interactive agents. Drawing on proxemics and bonding theories, the method combines subjective self-reports and objective spatial tracking. Applied in two field studies in a museum (N = 187) with a robot and a virtual agent, the paper addresses the challenges in aligning human perception and behavior. We focus on presenting an open source, scalable, and field-tested toolkit for future studies.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。