Szczegóły publikacji
Opis bibliograficzny
Designing accessible XR for neurodegenerative disease patients: insights from Parkinson’s disease case study / Daria HEMMERLING, Paweł JEMIOŁO, Mateusz DANIOŁ, Marek WODZIŃSKI, Jakub Kamiński, Magdalena Igras-Cybulska, Magdalena Wójcik-Pędziwiatr // W: VRW 2025 [Dokument elektroniczny] : 2025 IEEE conference on Virtual Reality and 3D user interfaces workshops : 8–12 March 2025, Saint-Malo, France : proceedings. — Wersja do Windows. — Adobe Reader. — Piscataway : The Institute of Electrical and Electronics Engineers, cop. 2025. — Dod. ISBN: 979-8-3315-2563-7. — e-ISBN: 979-8-3315-1484-6. — S. 1174–1175. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 1175, Abstr. — Publikacja dostępna online od: 2025-04-24
Autorzy (7)
- AGHHemmerling Daria
- AGHJemioło Paweł
- AGHDanioł Mateusz
- AGHWodziński Marek
- Kamiński Jakub
- Igras-Cybulska Magdalena
- Wójcik-Pędziwiatr Magdalena
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 159688 |
|---|---|
| Data dodania do BaDAP | 2025-07-10 |
| Tekst źródłowy | URL |
| DOI | 10.1109/VRW66409.2025.00233 |
| Rok publikacji | 2025 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Institute of Electrical and Electronics Engineers (IEEE) |
| Konferencja | IEEE Conference on Virtual Reality and 3D User Interfaces 2025 |
Abstract
XR systems hold transformative potential for healthcare, offering immersive and patient-centered environments that cater to the specific needs of individuals with neurodegenerative diseases. These systems should enhance accessibility, usability, and engagement through intuitive interfaces, multimodal feedback, and controlled environments, improving the quality of data collection while reducing patient anxiety and fostering cooperation during assessments. This paper discusses the accessibility, user experience, and usability of XR system developed using Microsoft HoloLens 2 for Parkinsons Disease patients. It integrates multimodal data collection to evaluate motor functions, speech, cognition, gait, and gaze patterns. Insights from both quantitative metrics and qualitative user feedback provide an understanding of the system’s strengths and areas for improvement. The results reveal specific design features that enhance accessibility and usability, such as multimodal guidance and task calibration, while highlighting challenges related to onboarding and motor impairments. These findings emphasize the need for customized XR solutions to address the complex requirements of neurodegenerative patients, showcasing the potential for such systems to support healthcare diagnostics.
