Biblio
Filters: Author is Klaus Bengler [Clear All Filters]
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2021. I Spy with My Mental Eye – Analyzing Compensatory Scanning in Drivers with Homonymous Visual Field Loss. Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021).
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2021. Webinar presentation: Why and How? at webinar ‘Driving Despite Impairment’
presented at webinar ‘Driving Despite Impairment’, organized by Prof. Dr. phil. Klaus Bengler & Bianca Biebl, Nov 11, 2020.
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2021. A Metamodel of Human Cyber Physical Systems. Working Document of the PIRE Project on Assuring Individual, Social, and Cultural Embeddedness of Autonomous Cyber-Physical Systems (ISCE-ACPS). :41.
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2021. A Causal Model of Intersection-Related Collisions for Drivers With and Without Visual Field Loss. In Proceedings of the 2021, International Conference on Human-Computer Interaction.
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2021. A causal model of intersection-related collisions for drivers with and without visual field loss. In Proceedings of the 23rd HCI International Conference (Ed.).
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2021. I Spy with My Mental Eye: Analyzing Compensatory Scanning in Drivers with Homonymous Visual Field Loss. Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021). :552–559.
Drivers with visual field loss show a heterogeneous driving performance due to the varying ability to compensate for their perceptual deficits. This paper presents a theoretical investigation of the factors that determine the development of adaptive scanning strategies. The application of the Saliency-Effort-Expectancy-Value (SEEV) model to the use case of homonymous hemianopia in intersections indicates that a lack of guidance and a demand for increased gaze movements in the blind visual field aggravates scanning. The adaptation of the scanning behavior to these challenges consequently requires the presence of adequate mental models of the driving scene and of the individual visual abilities. These factors should be considered in the development of assistance systems and trainings for visually impaired drivers.