HRI Evaluation of a Healthcare Service Robot

This paper presents the evaluation of a healthcare service robot system with vital signs measurement and medication reminders. The design followed the methodology proposed in [7]. This study is a first step to evaluate the methodology by measuring the effectiveness of the interaction patterns designed. The results show that the interaction design patterns could be validated and improved. One can easily reuse these patterns for another service application. This indicates the usefulness of the methodology in: (a) fostering research and development for creating interactive service robots; and (b) helping HRI designers further improve robots' interactivity, for perceiving and expressing interaction/social cues. Overall, the robot system performed robustly for about six hours every day for over two weeks. Videos of the users' approaching behaviours (use cases) were also analysed for future improvements on robot's interactivity to engage potential users in a public space.

[1]  Joochan Sohn,et al.  Deployment of a service robot to help older people , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[2]  Takayuki Kanda,et al.  Design patterns for sociality in human-robot interaction , 2008, 2008 3rd ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[3]  Jean Scholtz,et al.  Common metrics for human-robot interaction , 2006, HRI '06.

[4]  Kendall Scott,et al.  UML distilled - a brief guide to the Standard Object Modeling Language (2. ed.) , 2000, notThenot Addison-Wesley object technology series.

[5]  Hiroshi Ishiguro,et al.  Robopal: Modeling Role Transitions in Human-Robot Interaction , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[6]  Adriana Tapus,et al.  User Personality Matching with a Hands-Off Robot for Post-stroke Rehabilitation Therapy , 2006, ISER.

[7]  H. Huttenrauch,et al.  Fetch-and-carry with CERO: observations from a long-term user study with a service robot , 2002, Proceedings. 11th IEEE International Workshop on Robot and Human Interactive Communication.

[8]  Bruce A. MacDonald,et al.  Multidisciplinary Design Approach for Implementation of Interactive Services , 2011, Int. J. Soc. Robotics.

[9]  Bruce A. MacDonald,et al.  User Identification for Healthcare Service Robots: Multidisciplinary Design for Implementation of Interactive Services , 2010, ICSR.

[10]  Brian Scassellati,et al.  Socially assistive robotics [Grand Challenges of Robotics] , 2007, IEEE Robotics & Automation Magazine.

[11]  Ming Xu,et al.  Detecting head pose from stereo image sequence for active face recognition , 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.