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

Autor:	Kondyli, Vasiliki, Bhatt, Mehul, Suchan, Jakob
Rok vydání:	2020
Předmět:	Computer Science - Artificial Intelligence Computer Science - Computer Vision and Pattern Recognition Computer Science - Human-Computer Interaction
Druh dokumentu:	Working Paper
Popis:	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. Comment: 9th European Starting AI Researchers Symposium (STAIRS), at ECAI 2020, the 24th European Conference on Artificial Intelligence (ECAI)., Santiago de Compostela, Spain
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2006.00059 Zobrazit plný text záznamu View this record from Arxiv