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    Game Theory: A Potential Tool for the Design and Analysis of Patient-Robot Interaction Strategies

    Coffey, Aodhan L. and Ward, Tomas E. and Middleton, Richard H. (2011) Game Theory: A Potential Tool for the Design and Analysis of Patient-Robot Interaction Strategies. International Journal of Ambient Computing and Intelligence, 3 (3). pp. 43-51. ISSN 1941-6237

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    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.

    Item Type: Article
    Keywords: Automated Therapeutic Intervention; Game Theory; Patient-Robot Interaction Strategies; Rehabilitation Technologies; Rehabilitation Therapy;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Item ID: 3855
    Depositing User: Dr Tomas Ward
    Date Deposited: 12 Sep 2012 08:51
    Journal or Publication Title: International Journal of Ambient Computing and Intelligence
    Publisher: IG Global
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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