Data · collection · 2018
Supplementary material from "A computational model for driver's cognitive state, visual perception and intermittent attention in a distracted car following task"
Listed in DataCite
We present a computational model of intermittent visual sampling and locomotor control in a simple yet representative task of a car driver following another vehicle.
Description
The model has a number of features that take it beyond the current state of the art in modelling natural tasks, and driving in particular. First, unlike most control theoretical models in vision science and engineering—where control is directly based on observable (optical) variables—actions are based on a temporally enduring internal representation.
Second, unlike the more sophisticated engineering driver models based on internal representations, our model explicitly aims to be psychologically plausible, in particular in modelling perceptual processes and their limitations. Third, unlike most psychological models, it is implemented as an actual simulation model capable of full task performance (visual sampling and longitudinal control). The model is developed and validated using a dataset from a simplified car-following experiment ( N = 40, in both three-dimensional VR and a real instrumented vehicle).
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The results replicate our previously reported connection between time headway and visual attention. The model reproduces this connection and predicts that it emerges from control of action uncertainty. Implications for traffic psychological models and future developments for psychologically plausible yet computationally rigorous models of full natural task performance are discussed.
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- Repository landing page figshare.com/collections/Supplementary_material_from_A_computational_model_… ↗
landing page · from DataCite
- Repository landing page figshare.com/collections/Supplementary_material_from_A_computational_model_… ↗
landing page · from DataCite
- DOI doi.org/10.6084/m9.figshare.c.4205267 ↗
DOI / persistent id · from DataCite
- DOI doi.org/10.6084/m9.figshare.c.4205267.v2 ↗
DOI / persistent id · from DataCite
Documentation and papers
- CC BY 4.0 creativecommons.org/licenses/by/4.0 ↗
license · from DataCite
- IsSupplementTo 10.1098/rsos.180194 doi.org/10.1098/rsos.180194 ↗
publication · from DataCite
Catalogue records · 4
- DataCite API api.datacite.org/dois/10.6084/m9.figshare.c.4205267.v2 ↗
metadata API · from DataCite
- DataCite API api.datacite.org/dois/10.6084/m9.figshare.c.4205267 ↗
metadata API · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.c.4205267.v2 ↗
catalogue entry · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.c.4205267 ↗
catalogue entry · from DataCite
Topics
- Stated by source
- Computer and information sciences · Computer and information sciences · Electrical engineering, electronic engineering, information engineering · Electrical engineering, electronic engineering, information engineering · Psychology · Psychology
- Inferred from text
- Longitudinal study 65% · Simulation 75%
Related
Provenance · 2 source records, 15 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.6084/m9.figshare.c.4205267 | 12 d ago | JSON v1 |
| DataCite | 10.6084/m9.figshare.c.4205267.v2 | 12 d ago | JSON v1 |
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|---|---|---|---|
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| concepts[field].fos:computer-and-information-sciences | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:electrical-engineering-electronic-engineering-information-engineering | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:electrical-engineering-electronic-engineering-information-engineering | source · DataCite | connector:datacite@1.0.0 | |
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