Evaluating the Impact of Personalized Value Alignment in Human-Robot Interaction: Insights into Trust and Team Performance Outcomes

This paper examines the effect of real-time, personalized alignment of a robot's reward function to the human's values on trust and team performance. We present and compare three distinct robot interaction strategies: a non-learner strategy where the robot presumes the human's reward...

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Veröffentlicht in:	2024 19th ACM/IEEE International Conference on Human-Robot Interaction (HRI) S. 32 - 41
Hauptverfasser:	Bhat, Shreyas, Lyons, Joseph B., Shi, Cong, Yang, X. Jessie
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	ACM 11.03.2024
Schlagworte:	Estimation Human computer interaction Human-robot interaction Human-robot teaming Markov decision processes Organizations Real-time systems Reinforcement learning trust-aware decision-making value-alignment
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