人们能否区分人形远程操作中的人类与AI代理？一项关于代理感知的初步研究
Can People Distinguish Human and AI Agency in Humanoid Teleoperation? A Preliminary Study of Agency Perception
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中文总结 AI 辅助
本研究通过Ghost-in-the-Loop框架探究人们能否区分人形远程操作中的人类与AI代理，初步在线实验表明参与者难以区分，主要依据自然度、协调性和一致性判断，为代理感知研究提供初步见解。
中文摘要 AI 辅助
人们能否区分人形远程操作中的人类与AI代理？为探讨这一问题，我们开发了Ghost-in-the-Loop远程操作框架，该框架支持人类操作和AI生成控制机器人的语音、面部表情和手势，同时保持一致的具身表现。我们进行了一项初步在线研究（N=50），参与者观看由人类操作员或AI控制生成的短交互片段，并判断感知到的控制来源。结果表明，在简短交互中，参与者往往难以区分两种条件。定性反馈显示，判断主要受感知自然度、时间协调性以及语音、面部表情和手势之间一致性的影响。这些发现为具身人机通信中的代理感知提供了初步见解，并推动了对人机混合远程呈现系统的未来研究。
英文摘要
Can people distinguish between human and AI agency in humanoid teleoperation? To explore this question, we developed \textit{Ghost-in-the-Loop}, a teleoperation framework that supports both human-operated and AI-generated control of a robot's voice, facial expressions, and gestures while maintaining a consistent embodiment. We conducted a preliminary online study ($N=50$) in which participants viewed short interaction clips generated by either a Human Operator or an AI Control and judged the perceived source of control. Results suggest that participants often struggled to distinguish between the two conditions in brief interactions. Qualitative responses indicate that judgments were primarily influenced by perceived naturalness, temporal coordination, and consistency across speech, facial expression, and gesture. These findings provide initial insights into agency perception in embodied human--AI communication and motivate future investigations of blended human--AI telepresence systems.
发表机构
- Sony Computer Science Laboratories（索尼计算机科学实验室）
- University of Cambridge（剑桥大学）
- The University of Tokyo（东京大学）
机构由 AI 辅助整理，请以论文原文为准。
