Title :
Hands-Off Therapist Robot Behavior Adaptation to User Personality for Post-Stroke Rehabilitation Therapy
Author :
Adriana Tapus;Cristian Tapus;Maja J Mataric
Author_Institution :
Member, IEEE, Robotics Research Lab/Interaction Lab, Department of Computer Science, University of Southern California, Los Angeles, USA. phone: +1 (213) 740 6245, fax: +1 (213) 821 5696, e-mail: tapus@robotics.usc.edu
fDate :
4/1/2007 12:00:00 AM
Abstract :
This paper describes a hands-off therapist robot that monitors, assists, encourages, and socially interacts with post-stroke users in the process of rehabilitation exercises. We developed a behavior adaptation system that takes advantage of the users introversion-extroversion personality trait and the number of exercises performed in order to adjust its social interaction parameters (e.g., interaction distances/proxemics, speed, and vocal content) toward a customized post-stroke rehabilitation therapy. The experimental results demonstrate the robot´s autonomous behavior adaptation to the user´s personality and the resulting user improvements of the exercise task performance.
Keywords :
"Rehabilitation robotics","Medical treatment","Human robot interaction","Robotics and automation","Computer science","Pediatrics","Adaptive systems","Helium","Cognitive robotics","Senior citizens"
Conference_Titel :
Robotics and Automation, 2007 IEEE International Conference on
Print_ISBN :
1-4244-0601-3
DOI :
10.1109/ROBOT.2007.363544