Key result
Adaptive social robots successfully guide users through activities by regulating stress via real-time HRV feedback.
Why the study?
Providing appropriate, adaptive, and personalised feedback based on internal states is crucial for effective human-robot interaction to support physical, emotional, and psychological health.
Does an adaptive social robot using physiological signals effectively guide users and regulate stress responses?
Does an adaptive social robot using physiological signals effectively guide users and regulate stress responses?
An autonomous social robot system using real-time physiological feedback (HR/HRV) can effectively guide users in well-being activities and is well-accepted.
May inform development of robot-assisted stress interventions; leaves open efficacy in larger randomized trials.
Maintaining physical, emotional and psychological health is vital for well-being. Social robots have been increasingly used in healthcare to support physical and mental health. Providing appropriate, adaptive and personalised feedback based on the user’s internal states is crucial for effective and engaging human-robot interaction, especially in one-to-one interaction scenarios. In this research, we developed an adaptive and autonomous system, integrating a social robot, a wearable non-intrusive Polar chest sensor and algorithms to guide people in three application scenarios to promote physical, emotional, and psychological well-being. The social robot senses users’ psychophysiological measures such as heart rate and heart-rate variability via the wearable sensor, monitors their stress responses, provides real-time feedback and guides them to perform activities. We detail the system development and a pilot study with fifteen participants to evaluate the system in the three scenarios. The findings suggest that the autonomous system could effectively guide participants through the activities by regulating their stress responses. Participants’ physiological data also support these results. Moreover, the system was well-accepted by its users.
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Chandra et al. (2023) studied Physical, emotional, and psychological well-being (n=15). Adaptive and autonomous social robot system with wearable physiological sensor was evaluated on Stress response regulation and user acceptance. An adaptive, autonomous social robot system effectively guided 15 participants through activities by regulating their stress responses and was well-accepted by users.
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