aiqbench analysis
This study investigates the perceptual boundaries of human-AI collaboration in embodied teleoperation, finding that users frequently struggle to distinguish between human and AI control when interactions are brief and naturalistic. The results highlight that perceived agency is driven less by explicit identification of the controller and more by factors like temporal coordination and consistency across speech, facial expressions, and gestures. These insights are critical for designing future blended human-AI systems where seamless telepresence is a primary goal.
Can People Distinguish Human and AI Agency in Humanoid Teleoperation? A Preliminary Study of Agency Perception
arXiv:2609.06434v1 Announce Type: cross Abstract: 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.
Title:Can People Distinguish Human and AI Agency in Humanoid Teleoperation? A Preliminary Study of Agency Perception
Abstract: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.
Human-Computer Interaction (cs.HC); Robotics (cs.RO)
arXiv:2609.06434 [cs.HC]
(or arXiv:2609.06434v1 [cs.HC] for this version)
https://doi.org/10.48550/arXiv.2609.06434 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
https://doi.org/10.1145/3830397.3841874 Focus to learn more DOI(s) linking to related resources
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