Game-Theoretic Modeling of Human Adaptation in Human-Robot Collaboration

In human-robot teams, humans often start with an inaccurate model of the robot capabilities. As they interact with the robot, they infer the robot's capabilities and partially adapt to the robot, i.e., they might change their actions based on the observed outcomes and the robot's actions,...

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Bibliographic Details
Published in:	2017 12th ACM/IEEE International Conference on Human-Robot Interaction (HRI pp. 323 - 331
Main Authors:	Nikolaidis, Stefanos, Nath, Swaprava, Procaccia, Ariel D., Srinivasa, Siddhartha
Format:	Conference Proceeding
Language:	English
Published:	New York, NY, USA ACM 06.03.2017
Series:	ACM Conferences
Subjects:	Adaptation models Collaboration Computational modeling Computing methodologies > Artificial intelligence > Planning and scheduling > Robotic planning Force Games Human-centered computing > Human computer interaction (HCI) > HCI design and evaluation methods > User studies Robots Task analysis Theory of computation > Theory and algorithms for application domains > Algorithmic game theory and mechanism design > Algorithmic game theory human-robot collaboration game-theory human adaptation
ISBN:	9781450343367, 1450343368
ISSN:	2167-2148
Online Access:	Get full text
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