Abstract
Adherence to repetitive rehabilitation exercises is important in motor recovery after stroke. Similarly, repetitive solo practice exercises can improve the skill level of sports players. In both of these scenarios, regular human coaching has benefits, but in practice, the required training is often carried out alone, resulting in lowered adherence. This work presents a mixed methodology approach, novel in the context of designing for HRI, towards informing the design of a personalised robotic coach for stroke rehabilitation and squash. Using observations of human-human interactions, we first obtained action sequences of behaviours exhibited by coaches and physiotherapists. We then clustered these action sequences into behaviour graphs, with each graph representing a coaching policy usable for robotic control. Next we obtained coaches' and physiotherapists' reflections on the graphs' applicability to the real world. Finally, we provide an explanation of how the policies visualised in these graphs could be used for robotic control.
Original language | English |
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Title of host publication | Proceedings of MobileHCI 2021 - ACM International Conference on Mobile Human-Computer Interaction |
Subtitle of host publication | Mobile Apart, MobileTogether |
Publisher | Association for Computing Machinery (ACM) |
Pages | 1-17 |
Number of pages | 17 |
ISBN (Electronic) | 978-1-4503-8328-8 |
DOIs | |
Publication status | Published - 2021 |
Event | 23rd ACM International Conference on Mobile Human-Computer Interaction: Mobile Apart, MobileTogether, MobileHCI 2021 - Virtual, Online, France Duration: 27 Sept 2021 → 1 Oct 2021 |
Publication series
Name | Proceedings of MobileHCI 2021 - ACM International Conference on Mobile Human-Computer Interaction: Mobile Apart, MobileTogether |
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Conference
Conference | 23rd ACM International Conference on Mobile Human-Computer Interaction: Mobile Apart, MobileTogether, MobileHCI 2021 |
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Country/Territory | France |
City | Virtual, Online |
Period | 27/09/21 → 1/10/21 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Keywords
- Coaching
- HCI
- Human Robot Interaction (HRI)
- Stroke
- Systematic observations