Presentation
Usability Evaluation of Visual Feedback and Task Parameters in XR-Based Upper-Limb Tracking for Rehabilitation
DescriptionUpper-limb rehabilitation increasingly incorporates extended reality (XR) technologies, yet the optimal visual guidance format for trajectory-tracking tasks remains unclear. This study examines how two visual guidance conditions (path-only and path-with-targets) affect tracking accuracy, task completion time, and perceived workload in an XR-based upper-limb tracking task. Additionally, the study explores how geometric task parameters, including path dimensions and target size and spacing, influence performance across four path geometries (Straight, S-curve, Circle, Zigzag).
Healthy adults wear an XR headset and follow a 3D tube-shaped path using arm and shoulder movements. Outcome measures include tracking error, task completion time, NASA-TLX workload ratings, and surface EMG signals from the shoulder and upper arm.
Findings are expected to identify which visual guidance format and task parameters best support upper-limb motor performance and user experience, informing the design of more effective XR-based rehabilitation systems. Future work will apply the optimized parameters to individuals with upper-limb impairments to evaluate rehabilitation outcomes.
Healthy adults wear an XR headset and follow a 3D tube-shaped path using arm and shoulder movements. Outcome measures include tracking error, task completion time, NASA-TLX workload ratings, and surface EMG signals from the shoulder and upper arm.
Findings are expected to identify which visual guidance format and task parameters best support upper-limb motor performance and user experience, informing the design of more effective XR-based rehabilitation systems. Future work will apply the optimized parameters to individuals with upper-limb impairments to evaluate rehabilitation outcomes.
Event Type
Lecture
TimeTuesday, October 20th11am - 11:20am PDT
Location
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