| Title: | Head and eye movements during pedestrian crossing in patients with visual impairment : a virtual reality eye tracking study |
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| Authors: | ID Mervic, Mark (Author)
ID Grašič, Ema (Author)
ID Jaki Mekjavić, Polona (Author)
ID Vidović Valentinčič, Nataša (Author)
ID Fakin, Ana (Author) |
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| Files: |  PDF - Presentation file, download (1,67 MB)
MD5: 1720159EDB4841320EA882A821FB2C4F
 URL - Source URL, visit https://www.mdpi.com/1995-8692/18/5/55
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| Language: | English |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: |  UKC LJ - Ljubljana University Medical Centre
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| Abstract: | Real-world navigation depends on coordinated head–eye behaviour that standard tests of visual function miss. We investigated how visual impairment affects traffic navigation, whether behaviour differs by visual impairment type, and whether this functional grouping better explains performance than WHO categorisation. Using a virtual reality (VR) headset with integrated head and eye tracking, we evaluated detection of moving cars and safe road-crossing opportunities in 40 patients with central, peripheral, or combined visual impairment and 19 controls. Only two patients with a combination of very low visual acuity and severely constricted visual fields failed both visual tasks. Overall, patients identified safe-crossing intervals 1.3–1.5 s later than controls (p ≤ 0.01). Head-eye movement profiles diverged by visual impairment: patients with central impairment showed shorter, more frequent saccades (p < 0.05); patients with peripheral impairment showed exploratory behaviour similar to controls; while patients with combined impairment executed fewer microsaccades (p < 0.05), reduced total macrosaccade amplitude (p < 0.05), and fewer head turns (p < 0.05). Classification by impairment type explained behaviour better than WHO categorisation. These findings challenge acuity/field-based classifications and support integrating functional metrics into risk stratification and targeted rehabilitation, with VR providing a safe, scalable assessment tool. |
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| Keywords: | visual impairment, virtual reality, eye movement, pedestrian crossing |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Year of publishing: | 2025 |
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| Number of pages: | str. 1-18 |
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| Numbering: | Vol. 18, no. 5, [article no.] 55 |
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| PID: | 20.500.12556/DiRROS-28983  |
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| UDC: | 616.1/.4 |
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| ISSN on article: | 1995-8692 |
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| DOI: | 10.3390/jemr18050055 |
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| COBISS.SI-ID: | 254466563 |
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| Note: | Nasl. z nasl. zaslona;
Opis vira z dne 23. 10. 2025;
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| Publication date in DiRROS: | 15.04.2026 |
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| Views: | 148 |
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| Downloads: | 83 |
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