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Experiments with sensorimotor games in dynamic human/machine interaction
Author(s): Benjamin Chasnov; Momona Yamagami; Behnoosh Parsa; Lillian J. Ratliff; Samuel A. Burden
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Paper Abstract

While interacting with a machine, humans will naturally formulate beliefs about the machine's behavior, and these beliefs will affect the interaction. Since humans and machines have imperfect information about each other and their environment, a natural model for their interaction is a game. Such games have been investigated from the perspective of economic game theory, and some results on discrete decision-making have been translated to the neuromechanical setting, but there is little work on continuous sensorimotor games that arise when humans interact in a dynamic closed loop with machines. We study these games both theoretically and experimentally, deriving predictive models for steady-state (i.e. equilibrium) and transient (i.e. learning) behaviors of humans interacting with other agents (humans and machines). Specifically, we consider experiments wherein agents are instructed to control a linear system so as to minimize a given quadratic cost functional, i.e. the agents play a Linear-Quadratic game. Using our recent results on gradient-based learning in continuous games, we derive predictions regarding steady-state and transient play. These predictions are compared with empirical observations of human sensorimotor learning using a teleoperation testbed.

Paper Details

Date Published: 13 May 2019
PDF: 9 pages
Proc. SPIE 10982, Micro- and Nanotechnology Sensors, Systems, and Applications XI, 109822A (13 May 2019); doi: 10.1117/12.2519258
Show Author Affiliations
Benjamin Chasnov, Univ. of Washington (United States)
Momona Yamagami, Univ. of Washington (United States)
Behnoosh Parsa, Univ. of Washington (United States)
Lillian J. Ratliff, Univ. of Washington (United States)
Samuel A. Burden, Univ. of Washington (United States)


Published in SPIE Proceedings Vol. 10982:
Micro- and Nanotechnology Sensors, Systems, and Applications XI
Thomas George; M. Saif Islam, Editor(s)

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