User Personality Matching with a Hands-Off Robot for Post-stroke Rehabilitation Therapy

  • Adriana Tapus
  • Maja J. Matarić
Part of the Springer Tracts in Advanced Robotics book series (STAR, volume 39)

Abstract

This paper describes a hands-off therapist robot that monitors, assists, encourages, and socially interacts with post-stroke users engaged in rehabilitation exercises. We investigate the role of the robot’s personality in the hands-off therapy process, focusing on the relationship between the level of extroversion-introversion of the robot and the user. The experiments map the extroversion-introversion personality dimension and the spectrum of therapy styles that range from challenging to nurturing. The experimental results provide first evidence for the preference of personality matching in the assistive domain.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Adriana Tapus
    • 1
  • Maja J. Matarić
    • 2
  1. 1.Interaction Lab, Computer Science Department University of Southern California 941 West 37th Place, RTH 423, Mailcode 0781 Los Angeles, CAUSA
  2. 2.Interaction Lab, Computer Science Department University of Southern California 941 West 37th Place, RTH 406, Mailcode 0781 Los Angeles, CAUSA

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