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Multifractal Analysis of Heart Rate Dynamics as a Predictor of Teammate Trust in Human-Machine Teams
Virtual Program Session
Human AI Robot Teaming (HART)
DescriptionTeams are complex systems with many different layers that interact with one another to accomplish a common goal or task. The physiological layer is just one of them. In this study, first, we examined how the Holder exponent, which was extracted from heart rate variability, changed across the missions and roles, and then how the holder exponent is related to trust in the autonomous agent. The primary team task is taking photographs of predefined targets in a contested environment. The UAV ground station team is composed of three roles. The findings show that holder exponent differentiated across the roles and decreased across the missions. Another finding shows a positive association between holder exponent and trust in the autonomous agent. The findings suggest: holder exponent increased with trust in the autonomous teammate; holder exponent is predictive of the participant’s trust; physiological coordination may be a marker of trust in autonomy.