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

arXiv: https://arxiv.org/abs/2006.00059 · HTML: https://mlsanity.com/paper/2006.00059/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 29 May 2020.

## Built on by (most cited first, 2 of 2)

- [MomaGraph: State-Aware Unified Scene Graphs with Vision-Language Model for Embodied Task Planning](https://mlsanity.com/paper/2512.16909/) (2025)
- [A Human-Factors Guided Cognitive Model of Visuospatial Complexity in Embodied Active Vision](https://mlsanity.com/paper/2608.23572/) (2026)

## Abstract (arXiv)

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