Abstract
We developed a novel gamified system for post-stroke long-term rehabilitation, using the humanoid robot Pepper (SoftBank, Aldebaran). Here, we present a participatory-design study with insights from both expert clinicians and from stroke patients who underwent a long-term intervention with the robot. We first present the results of a qualitative study with expert clinicians (n=12) on the compatibility of this system with the needs of post-stroke patients, and then the preliminary results of a long-term intervention study with post-stroke participants (n=4) in a rehabilitation facility. Both the clinicians and the patients found the robot and the gamified system engaging, motivating and meeting the needs of upper limb rehabilitation. The clinicians gave specific recommendations that may be applicable to a wide range of technologies for post-stroke rehabilitation.
| Original language | English |
|---|---|
| Title of host publication | HRI 2020 - Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 151-160 |
| Number of pages | 10 |
| ISBN (Electronic) | 9781450367462 |
| DOIs | |
| State | Published - 9 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
- Engagement
- Focus groups
- Long-Term interaction
- Personalization
- Rehabilitation
- Socially Assistive Robot
- Stroke
ASJC Scopus subject areas
- Artificial Intelligence
- Human-Computer Interaction
- Electrical and Electronic Engineering
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