Towards a human-centred cognitive model of visuospatial complexity in everyday driving
(2020) 9th European Starting AI Researchers' Symposium, STAIRS 2020 In CEUR Workshop Proceedings 2655.- Abstract
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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/fa6e4b8f-dc1a-4003-aeea-a72f6003bfaf
- author
- Kondyli, Vasiliki LU ; Bhatt, Mehul and Suchan, Jakob
- publishing date
- 2020
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Towards a human-centred cognitive model of visuospatial complexity in everyday driving
- series title
- CEUR Workshop Proceedings
- volume
- 2655
- conference name
- 9th European Starting AI Researchers' Symposium, STAIRS 2020
- conference location
- Santiago Compostela, Spain
- conference dates
- 2020-08-29 - 2020-08-30
- external identifiers
-
- scopus:85090911230
- ISSN
- 1613-0073
- language
- English
- LU publication?
- no
- additional info
- Publisher Copyright: © 2020 CEUR-WS. All rights reserved.
- id
- fa6e4b8f-dc1a-4003-aeea-a72f6003bfaf
- date added to LUP
- 2025-06-08 07:48:03
- date last changed
- 2025-06-10 11:07:22
@inproceedings{fa6e4b8f-dc1a-4003-aeea-a72f6003bfaf, abstract = {{<p>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.</p>}}, author = {{Kondyli, Vasiliki and Bhatt, Mehul and Suchan, Jakob}}, booktitle = {{Towards a human-centred cognitive model of visuospatial complexity in everyday driving}}, issn = {{1613-0073}}, language = {{eng}}, series = {{CEUR Workshop Proceedings}}, title = {{Towards a human-centred cognitive model of visuospatial complexity in everyday driving}}, volume = {{2655}}, year = {{2020}}, }