🤖 AI Summary
This study investigates whether predictive eye movements retain their goal-directed function during human teleoperation of robots and how visual attention adapts to altered bodily representations. Employing high-precision eye tracking within a teleoperation experimental paradigm, the research quantitatively analyzes the spatiotemporal relationships among gaze fixations, task goals, robotic end-effectors, and manipulated objects. The results systematically demonstrate for the first time that predictive eye movements do not disappear; instead, they preserve goal-directedness while being reorganized according to perceptual feedback and control demands, significantly enhancing online monitoring of both the robot’s end-effector and the target object. These findings confirm the remarkable flexibility of the human visuomotor system and suggest that eye movements serve as a reliable signal for inferring user intent in human–robot interaction.
📝 Abstract
Goal-directed eye movements are a fundamental component of visuomotor control, enabling humans to anticipate and guide their actions. Whether this anticipatory and task-driven behavior is preserved when actions are executed through a robot rather than through one's own body remains unclear. Here we address this question by investigating gaze behavior during goal-directed telemanipulation to determine how visuomotor control adapts to altered embodiment. Our findings show that gaze remains strongly aligned with task goals, preserving its predictive role even during robot-mediated manipulation. At the same time, teleoperation systematically redistributes visual attention toward the robotic end-effector and manipulated objects, increasing online monitoring. These findings show that predictive gaze is not lost under altered embodiment, but reorganized in response to changes in sensory feedback and control demands. More broadly, they reveal the flexibility of the human visuomotor system when the natural sensorimotor coupling is disrupted and identify gaze as an informative signal for inferring action intentions in human-robot interaction.