Proceedings/Recueil Des Communications Année : 2025

Assessing Trust and Cognitive Load in Teleoperated Robotic Systems Across Different Information Conditions

Résumé

This paper investigates how different levels of information impact user trust and cognitive load in teleoperated robotic systems. Participants performed tasks under three conditions: (C1) minimal information after initial visual feedback, (C2) verbal guidance through a graphical interface, and (C3) a combination of visual and verbal guidance via a graphical user interface (GUI) that shows the direction in which the user should move the robot to complete the task. Measurements included physiological responses such as galvanic skin response (GSR), eye blink rate, and facial temperature, along with task performance. The findings revealed that increased cognitive load reduced user trust and performance. When only minimal information was provided, participants experienced the highest cognitive load and lowest trust levels. Verbal guidance significantly reduced cognitive load and increased trust, whereas the combination of visual and verbal guidance caused cognitive overload, counteracting the expected increase in trust. This study underscores the importance of balancing information quantity and quality to enhance user experience and the efficiency of teleoperated robotic systems.

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Dates et versions

hal-05118668 , version 1 (18-06-2025)

Identifiants

  • HAL Id : hal-05118668 , version 1

Citer

Juan Jose Garcia Cardenas, Adriana Tapus. Assessing Trust and Cognitive Load in Teleoperated Robotic Systems Across Different Information Conditions. In Proceedings of the 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025), Oct 2025, Hangzhou, China. 2025. ⟨hal-05118668⟩
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