When Humans Aren't Optimal Robots that Collaborate with Risk-Aware Humans

In order to collaborate safely and efficiently, robots need to anticipate how their human partners will behave. Some of today's robots model humans as if they were also robots, and assume users are always optimal. Other robots account for human limitations, and relax this assumption so that the...

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Veröffentlicht in:	2020 15th ACM/IEEE International Conference on Human-Robot Interaction (HRI) S. 43 - 52
Hauptverfasser:	Kwon, Minae, Biyik, Erdem, Talati, Aditi, Bhasin, Karan, Losey, Dylan P., Sadigh, Dorsa
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	New York, NY, USA ACM 09.03.2020
Schriftenreihe:	ACM Conferences
Schlagworte:	cognitive HRI Collaboration Computational modeling Computing methodologies > Artificial intelligence > Knowledge representation and reasoning > Cognitive robotics Computing methodologies > Artificial intelligence > Philosophical/theoretical foundations of artificial intelligence > Theory of mind cumulative prospect theory Economics human prediction Human-robot interaction Mathematics of computing > Probability and statistics > Probabilistic inference problems Predictive models Probabilistic logic Robot sensing systems cognitive hri cumulative prospect theory human prediction
ISBN:	1450367461, 9781450367462
ISSN:	2167-2148
Online-Zugang:	Volltext
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