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Social robots for engagement in rehabilitative therapies: Design implications from a study with therapists

Winkle, K; Caleb-Solly, Praminda; Turton, Ailie; Bremner, Paul

Authors

K Winkle

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Praminda Caleb-Solly Praminda.Caleb-solly@uwe.ac.uk
Professor in Assistive Robotics and Intelligent Health Technologies

Ailie Turton Ailie.Turton@uwe.ac.uk
Senior Lecturer in Occupational Therapy

Paul Bremner paul.bremner@brl.ac.uk



Abstract

In this paper we present the results of a qualitative study with therapists to inform social robotics and human robot interaction (HRI) for engagement in rehabilitative therapies. Our results add to growing evidence that socially assistive robots (SARs) could play a role in addressing patients’ low engagement with self-directed exercise programmes. Specifically, we propose how SARs might augment or offer more pro-active assistance over existing technologies such as smartphone applications, computer software and fitness trackers also designed to tackle this issue. In addition, we present a series of design implications for such SARs based on therapists’ expert knowledge and best practices extracted from our results. This includes an initial set of SAR requirements and key considerations concerning personalised and adaptive interaction strategies.

Citation

Design implications from a study with therapists. Paper presented at 2018 ACM/IEEE International Conference on Human-Robot Interaction

Presentation Conference Type Conference Paper (unpublished)
Conference Name 2018 ACM/IEEE International Conference on Human-Robot Interaction
Start Date Mar 5, 2018
End Date Mar 8, 2018
Acceptance Date Nov 22, 2017
Publication Date Jan 1, 2018
Publicly Available Date Nov 30, -0001
Peer Reviewed Peer Reviewed
Pages 289-297
ISBN 9781450349536
Keywords socially assistive robotics, engagement, motivation, therapy, user study
Publisher URL https://doi.org/10.1145/3171221.3171273
Related Public URLs https://dl-acm-org.ezproxy.uwe.ac.uk/citation.cfm?id=3171273
Additional Information Additional Information : This conference paper was awarded best paper
Title of Conference or Conference Proceedings : HRI '18 Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction Pages 289-297
Corporate Creators : Bristol Robotics Laboratory

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