ArticleRoyal Society open science2018
A computational model for driver's cognitive state, visual perception and intermittent attention in a distracted car following task.
Article in Royal Society open science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Active inference as a model of collision avoidance behavior in human drivers.Nature communications · 2026Article
- Resolving uncertainty on the fly: modeling adaptive driving behavior as active inference.Frontiers in neurorobotics · 2024Article
- A Review of Occlusion as a Tool to Assess Attentional Demand in Driving.Human factors · 2023Review
- Drivers use active gaze to monitor waypoints during automated driving.Scientific reports · 2021Article
- Inattention and Uncertainty in the Predictive Brain.Frontiers in neuroergonomics · 2021Article
- Correlation Among Behavior, Personality, and Electroencephalography Revealed by a Simulated Driving Experiment.Frontiers in psychology · 2019Article
- A computational model for driver's cognitive state, visual perception and intermittent attention in a distracted car following task.Royal Society open science · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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. 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 (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.