Extended Reality Biofeedback for Functional Upper Limb Weakness: Mixed Methods Usability Evaluation
Anirban Dutta1, Katerina Hatjipanagioti1,2,3,4,5,6,7, Matthew Alexander Newsham2
1Department of Metabolism and Systems Science, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom, 44 7395260645.
This study developed an extended reality (XR) biofeedback platform for functional neurological disorder (FND) rehabilitation. The XR position feedback task showed excellent usability, highlighting XR
Area of Science:
- Neuroscience
- Rehabilitation Technology
- Human-Computer Interaction
Background:
- Functional neurological disorder (FND) disrupts the perception-action cycle, impacting motor control and agency.
- Extended reality (XR) neurotechnologies offer novel rehabilitation for FND, particularly functional limb weakness.
- Current rehabilitation methods need enhancement through integrated sensory feedback for motor retraining.
Purpose of the Study:
- To co-design and evaluate an XR-based biofeedback platform for upper-limb rehabilitation in FND.
- To incorporate multisensory (visual and haptic) feedback to improve motor retraining efficacy.
- To assess user requirements and usability of XR training tasks for FND patients.
Main Methods:
- Mixed methods design involving a Delphi survey (N=20) for user requirements and a co-design workshop (N=6).
- Evaluation of three XR tasks: VR relaxation, XR position feedback ('Hoop Hustle'), and XR force feedback (haptic robot-assisted).
- Usability assessed via System Usability Scale (SUS) questionnaires and qualitative thematic analysis.
Main Results:
- The XR position feedback task achieved excellent usability (4/6 participants >85 SUS).
- VR relaxation task showed polarized usability scores, with some participants experiencing motion discomfort.
- XR force feedback task had mixed usability, with significant individual variability and challenges for some participants.
Conclusions:
- The XR biofeedback platform is feasible and usable for FND rehabilitation, with XR position feedback being highly accepted.
- Personalization features and hardware refinement are crucial for optimizing XR rehabilitation tools.
- Future research should focus on enhancing usability, accessibility, and conducting larger clinical trials to evaluate effectiveness.
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