Evaluation of User Behaviour on Assistive Robotic Systems Exemplified on the PlayROB System

This paper describes the methods and outcome of the evaluation of user behavior and learning effects on a new system for robot supported playing. To gain in-depth knowledge in user interaction the system is quipped with a data logging tool. A long-term study is performed and a variety of statistical methods are applied to determine changes in interaction and playing abilities and lead to a promising tool for diagnosis and assessment. The first findings of the study are described and an outlook of future activities is given.