Kelly, Merlin;
Yang, Lingqian;
Thomas, Alexander;
Donnelly, Pete;
Cho, Youngjun;
(2024)
WheelSkills: Prototyping Manual Wheelchair Training through Immersive Visual Feedback.
In:
CHI EA '24: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems.
ACM
(In press).
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Abstract
Wheelchair skills training is an essential structured process for wheelchair users to learn how to maneuver effectively, avoiding improper wheelchair use and preventing potential mobility impairments from developing. Online video tutorials have often been used for this training in familiar settings. However, video training lacks real-time feedback, affecting training efficacy in contrast with in-person training. In this paper, we propose WheelSkill, a prototype wheelchair training system combining motion capture and a training interface, providing real-time visual feedback based on the user’s skeletal motion. Eight wheelchair users and a wheelchair expert trainer were consulted in a pilot focus group and interview. Results highlight themes of human-centred design principles for wheelchair users for the final iteration of WheelSkills to assimilate for a high-fidelity wheelchair training feedback system. Finally, we discuss the benefits and limitations of WheelSkills and the adaptions planned for future works.
| Type: | Proceedings paper |
|---|---|
| Title: | WheelSkills: Prototyping Manual Wheelchair Training through Immersive Visual Feedback |
| Event: | CHI EA '24: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://dl.acm.org/conference/chi |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
| Keywords: | Wheelchair skills training (WST), Manual wheelchair users (MWUs), Motion capture, Visual feedback, Skeleton visualization, Posture correction |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10189969 |
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