Development and User Experiences of a Novel Virtual Reality Task for Poststroke Visuospatial Neglect: An Exploratory Pilot Study
December 19, 2023 Β· Declared Dead Β· π JMIR XR and spatial computing
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Andrew Danso, Patti Nijhuis, Alessandro Ansani, Martin Hartmann, Gulnara Minkkinen, Geoff Luck, Joshua S. Bamford, Sarah Faber, Kat R. Agres, Solange Glasser, Teppo SΓ€rkΓ€mΓΆ, Rebekah Rousi, Marc R. Thompson
arXiv ID
2312.12399
Category
cs.HC: Human-Computer Interaction
Citations
1
Venue
JMIR XR and spatial computing
Last Checked
4 months ago
Abstract
Background: Visuospatial neglect (VSN) affects spatial awareness, leading to functional and motor challenges. This case study explores virtual reality (VR) as a potential complementary tool for VSN rehabilitation. Objective: Specifically, we aim to explore the initial experiences of patients and physiotherapists engaging with a novel protocol, using an audiovisual cue task to support VSN rehabilitation. Methods: A preliminary VR task integrating audiovisual cues was co-designed with 2 physiotherapists. The task was then tested with 2 patients with VSN over 12 sessions. The intervention focused on engaging neglected spatial areas, with physiotherapists adapting the task to individual needs and monitoring responses. Results: Initial testing with 2 trainee physiotherapists indicated high usability, engagement, and perceived safety. Two patients with VSN completed 12 VR sessions. For Patient A, completion times increased following the introduction of an audio cue, though modeling indicated a nonsignificant linear trend (beta = 0.08; P = .33) and a marginally significant downward curvature (beta = -0.001; P = .08). In contrast, Patient B showed a significant linear decrease in completion times (beta = -0.53; P = .009), with a quadratic trend indicating a performance minimum around session 10 (B = 0.007; P = .04). Intraweek variability also decreased. Motor scores (Box and Block Test and 9-Hole Peg Test) remained stable, and subjective feedback indicated improved mobility confidence and positive task engagement. Conclusions: Further research with larger cohorts is needed to confirm the VR task's utility and refine the intervention.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Human-Computer Interaction
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Improving fairness in machine learning systems: What do industry practitioners need?
R.I.P.
π»
Ghosted
Identifying Stable Patterns over Time for Emotion Recognition from EEG
R.I.P.
π»
Ghosted
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
R.I.P.
π»
Ghosted
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
R.I.P.
π»
Ghosted
Educational data mining and learning analytics: An updated survey
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted