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Effects of proactive explanations by autonomous systems on human-robot trust

Zhu, Lixiao
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Abstract
Human-Robot Interaction (HRI) seeks understanding, designing, and evaluating of robots for human-robot teams. Previous research has indicated that the performance of human-robot teams depends on human-robot trust, which in turn depends on appropriate robot-to-human transparency. In this thesis, we explore one strategy for improving robot transparency, proactive explanations, and its effect on the human-robot trust. We also introduce a resource management testbed, in which human participants engage in a resource management exercise while a robot teammate performs an assistive task. Our results suggest that there is a positive relationship between providing proactive explanations and human-robot trust.
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