HRI evaluation of a healthcare service robot

Authors:
I-Han Kuo;Chandimal Jayawardena;Elizabeth Broadbent;Rebecca Q. Stafford;Bruce A. MacDonald
Affiliations:
Electrical and Computer Engineering, University of Auckland, New Zealand;Department of Computing, Unitec Institute of Technology, New Zealand;Psychological Medicine, University of Auckland, New Zealand;Psychological Medicine, University of Auckland, New Zealand;Electrical and Computer Engineering, University of Auckland, New Zealand
Venue:
ICSR'12 Proceedings of the 4th international conference on Social Robotics
Year:
2012

Citing 5
Cited 0

Detecting Head Pose from Stereo Image Sequence for Active Face Recognition

FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
UML Distilled: A Brief Guide to the Standard Object Modeling Language

UML Distilled: A Brief Guide to the Standard Object Modeling Language
Common metrics for human-robot interaction

Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
Design patterns for sociality in human-robot interaction

Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction
User identification for healthcare service robots: multidisciplinary design for implementation of interactive services

ICSR'10 Proceedings of the Second international conference on Social robotics

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.