In this work, we study and model how two factors of human cognition, trust and attention, affect the way humans interact with autonomous vehicles. We develop a probabilistic model that succinctly captures how trust and attention evolve across time to drive behavior, and present results from a human-subjects experiment where participants interacted with a simulated autonomous vehicle while engaging with a secondary task. Our main findings suggest that trust affects attention, which in turn affects the human's decision to intervene with the autonomous vehicle.
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Modeling the Interplay of Trust and Attention in HRI: An Autonomous Vehicle Study
Semantic Scholar · Computer Science · 2020
Abstract
In this work, we study and model how two factors of human cognition, trust and attention, affect the way humans interact with autonomous vehicles. We develop a probabilistic model that succinctly captures how trust and attention evolve across time to drive behavior, and present results from a human-subjects experiment where participants interacted with a simulated autonomous vehicle while engaging with a secondary task. Our main findings suggest that trust affects attention, which in turn affects the human's decision to intervene with the autonomous vehicle.