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We develop a human-centred, cognitive model of visuospatial complexity ineveryday, naturalistic driving conditions. With a focus on visual perception,the model incorporates quantitative, structural, and dynamic attributesidentifiable in the chosen context; the human-centred basis of the model liesin its behavioural evaluation with human subjects with respect topsychophysical measures pertaining to embodied visuoauditory attention. Wereport preliminary steps to apply the developed cognitive model of visuospatialcomplexity for human-factors guided dataset creation and benchmarking, and forits use as a semantic template for the (explainable) computational analysis ofvisuospatial complexity.

Towards a Human-Centred Cognitive Model of Visuospatial Complexity in Everyday Driving