Coffey, Aodhan L. and Ward, Tomas and Middleton, Richard H.
A Potential Tool for the Design and Analysis
of Patient-Robot Interaction Strategies.
International Journal of Ambient Computing and Intelligence, 3 (3).
Designing suitable robotic controllers for automating movement-based rehabilitation therapy requires an
understanding of the interaction between patient and therapist. Current approaches do not take into account
the highly dynamic and interdependent nature of this relationship. A better understanding can be accomplished
through framing the interaction as a problem in game theory. The main strength behind this approach is
the potential to develop robotic control systems which automatically adapt to patient interaction behavior.
Agents learn from experiences, and adapt their behaviors so they are better suited to their environment. As
the models evolve, structures, patterns and behaviors emerge that were not explicitly programmed into the
original models, but which instead surface through the agent interactions with each other and their environment.
This paper advocates the use of such agent based models for analysing patient-therapist interactions
with a view to designing more efficient and effective robotic controllers for automated therapeutic intervention
in motor rehabilitation. The authors demonstrate in a simplified implementation the effectiveness of this
approach through simulating known behavioral patterns observed in real patient-therapist interactions, such
as learned dependency.
||Automated Therapeutic Intervention; Game Theory; Patient-Robot Interaction Strategies;
Rehabilitation Technologies; Rehabilitation Therapy;
||Faculty of Science and Engineering > Electronic Engineering
Dr Tomas Ward
||12 Sep 2012 08:51
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||International Journal of Ambient Computing and Intelligence
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