Abstract
We present a robot exercise coach, co-designed and then trained in real-time by a human fitness instructor, via interactive machine learning, to support the UK National Health Service (NHS) Couch to 5km (C25K) programme. The programme consists of undertaking 3x weekly exercise sessions for 9 weeks, with sessions building up from a combination of short runs and walks to a full 30 minutes running. The simplicity (and relatively boring nature) of the task places great importance on the ability of the robot, our 'C25K coach', to provide engaging and appropriate social supporting behaviour.
| Original language | English |
|---|---|
| Title of host publication | HRI 2020 - Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction |
| Publisher | IEEE Computer Society |
| Pages | 520-522 |
| Number of pages | 3 |
| ISBN (Electronic) | 9781450370578 |
| DOIs | |
| Publication status | Published - 23 Mar 2020 |
| Event | 15th Annual ACM/IEEE International Conference on Human Robot Interaction, HRI 2020 - Cambridge, United Kingdom Duration: 23 Mar 2020 → 26 Mar 2020 |
Publication series
| Name | ACM/IEEE International Conference on Human-Robot Interaction |
|---|---|
| ISSN (Electronic) | 2167-2148 |
Conference
| Conference | 15th Annual ACM/IEEE International Conference on Human Robot Interaction, HRI 2020 |
|---|---|
| Country/Territory | United Kingdom |
| City | Cambridge |
| Period | 23/03/20 → 26/03/20 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Machine learning
- Participatory design
- Socially assistive robotics
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