A New Method for Estimating Effects of Visual Field Loss in a Panoramic Driving Environment

Anderson, David E.; Ghate, Christopher A; Kedar, Sachin; Rizzo, Matthew

doi:10.17077/drivingassessment.1607

Cited by 2 publications

(7 citation statements)

References 8 publications

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“…Response rates (0-4) and cortical magnification weights were used to calculate a global DS-VFI (Bengtsson & Heijl, 2008) for constructed DSVF visual fields. Gray scales and DS-VFI estimates from the DSVF are comparable to those obtained in the clinic (Anderson et al, 2017).…”

Section: Driving Simulator Visual Fieldsupporting

confidence: 67%

“…SENSEI (Simulator for Ergonomics, Neuroscience, Safety Engineering and Innovation), a DriveSafety (Salt Lake City, UT) RS-600 Research Simulator, provided the driving environment (Anderson et al, 2017). SENSEI is constructed around a full-sized automotive cab (2004 Ford Focus).…”

Section: Methodsmentioning

confidence: 99%

“…Methods for the DSVF have been reported elsewhere (Anderson et al, 2017). Briefly, the DSVF maps out grid locations spanning 60 and 20 of total horizontal and vertical visual angle, respectively.…”

Section: Driving Simulator Visual Fieldmentioning

confidence: 99%

“…Our goal was to begin evaluating evidence for compensatory eye movements in glaucoma drivers with binocular visual field defects. We used remote eye tracking technology to measure eye movement patterns while drivers completed a driving simulator visual field (DSVF) task (Anderson, Ghate, Kedar, & Rizzo, 2017) under increasing driving task load. The DSVF uses a simple stimulus detection paradigm to probe regions of the visual field routinely tested by standard clinical perimetry.…”

Section: Introductionmentioning

confidence: 99%

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Spatially Biased Eye Movements in Older Drivers with Glaucoma and Visual Field Defects

Anderson¹,

Ghate

Kedar

et al. 2019

Proceedings of the 10th International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design: Dri

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Patients with glaucoma are at greater driving safety risk due to visual field defects. These driving safety risks may be mitigated by compensatory eye movements. We measured spatial allocation of eye movements in a panoramic driving simulator in 8 drivers with glaucoma and 5 with suspected glaucoma. All completed a driving simulator visual field task under three separate conditions: (1) parked with a naturalistic background (Baseline condition); (2) driving on a rural highway (Driving condition); and (3) driving and completing a competing auditory attention task (PASAT condition). Results showed that: (1) drivers with larger binocular visual field defects showed more restricted, spatially biased eye movements, and (2) greater task load led to more spatially biased eye movements in drivers with larger binocular visual field defects. Findings provide preliminary evidence of eye movement patterns that may reflect compensatory behaviors in drivers with glaucomatous visual fields. Better understanding of the relationship between visual field deficits, eye movement patterns, and driving in glaucoma can help inform countermeasures to improve safety and mobility in drivers with visual impairments.

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Section: Driving Simulator Visual Fieldsupporting

confidence: 67%

Section: Methodsmentioning

confidence: 99%

Section: Driving Simulator Visual Fieldmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Spatially Biased Eye Movements in Older Drivers with Glaucoma and Visual Field Defects

Anderson¹,

Ghate

Kedar

et al. 2019

Proceedings of the 10th International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design: Dri

Self Cite

View full text Add to dashboard Cite

show abstract

“…Driving simulator SENSEI (Simulator for Ergonomics, Neuroscience, Safety Engineering and Innovation), a DriveSafety (Salt Lake City, UT) RS-600 Research Simulator, provided the driving environment [28]. SENSEI is constructed around a full-sized automotive cab (2004 Ford Focus).…”

Section: Driving Simulationmentioning

confidence: 99%

Glaucomatous visual fields and neurocognitive function are independently associated with poor lane maintenance during driving simulation

et al. 2020

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Background Driving simulators are a safe alternative to on-road vehicles for studying driving behavior in glaucoma drivers. Visual field (VF) loss severity is associated with higher driving simulator crash risk, though mechanisms explaining this relationship remain unknown. Furthermore, associations between driving behavior and neurocognitive performance in glaucoma are unexplored. Here, we evaluated the hypothesis that VF loss severity and neurocognitive performance interact to influence simulated vehicle control in glaucoma drivers. Methods Glaucoma patients (n = 25) and suspects (n = 18) were recruited into the study. All had > 20/40 corrected visual acuity in each eye and were experienced field takers with at least three stable (reliability > 20%) fields over the last 2 years. Diagnosis of neurological disorder or cognitive impairment were exclusion criteria. Binocular VFs were derived from monocular Humphrey VFs to estimate a binocular VF index (OU-VFI). Montreal Cognitive Assessment (MoCA) was administered to assess global and sub-domain neurocognitive performance. National Eye Institute Visual Function Questionnaire (NEI-VFQ) was administered to assess peripheral vision and driving difficulties sub-scores. Driving performance was evaluated using a driving simulator with a 290° panoramic field of view constructed around a full-sized automotive cab. Vehicle control metrics, such as lateral acceleration variability and steering wheel variability, were calculated from vehicle sensor data while patients drove on a straight two-lane rural road. Linear mixed models were constructed to evaluate associations between driving performance and clinical characteristics. Results Patients were 9.5 years older than suspects (p = 0.015). OU-VFI in the glaucoma group ranged from 24 to 98% (85.6 ± 18.3; M ± SD). OU-VFI (p = .0066) was associated with MoCA total (p = .0066) and visuo-spatial and executive function sub-domain scores (p = .012). During driving simulation, patients showed greater steering wheel variability (p = 0.0001) and lateral acceleration variability (p < .0001) relative to suspects. Greater steering wheel variability was independently associated with OU-VFI (p = .0069), MoCA total scores (p = 0.028), and VFQ driving sub-scores (p = 0.0087), but not age (p = 0.61). Conclusions Poor vehicle control was independently associated with greater VF loss and worse neurocognitive performance, suggesting both factors contribute to information processing models of driving performance in glaucoma. Future research must demonstrate the external validity of current findings to on-road performance in glaucoma.

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A New Method for Estimating Effects of Visual Field Loss in a Panoramic Driving Environment

Cited by 2 publications

References 8 publications

Spatially Biased Eye Movements in Older Drivers with Glaucoma and Visual Field Defects

Spatially Biased Eye Movements in Older Drivers with Glaucoma and Visual Field Defects

Glaucomatous visual fields and neurocognitive function are independently associated with poor lane maintenance during driving simulation

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