A computational model for driver's cognitive state, visual perception and intermittent attention in a distracted car following task

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Pekkanen , J J O , Lappi , O , Rinkkala , P , Tuhkanen , N S , Frantsi , R & Summala , K H I 2018 , ' A computational model for driver's cognitive state, visual perception and intermittent attention in a distracted car following task ' , Royal Society Open Science , vol. 5 , no. 9 , 180194 , pp. 1-23 . https://doi.org/10.1098/rsos.180194

Title: A computational model for driver's cognitive state, visual perception and intermittent attention in a distracted car following task
Author: Pekkanen, Jami Joonas Olavi; Lappi, Otto; Rinkkala, Paavo; Tuhkanen, Niko Samuel; Frantsi, Roosa; Summala, Kari Heikki Ilmari
Contributor: University of Helsinki, Cognitive Science
University of Helsinki, Cognitive Science
University of Helsinki, Department of Digital Humanities
Date: 2018-09-05
Language: eng
Number of pages: 23
Belongs to series: Royal Society Open Science
ISSN: 2054-5703
URI: http://hdl.handle.net/10138/244521
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 (N = 40, in both three-dimensional virtual reality and a real instrumented vehicle). 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.
Subject: 6162 Cognitive science
visual attention
top-down control
natural task performance
driving
predictive processing
Cognitive modelling
VISUAL ATTENTION
TOP-DOWN CONTROL
NATURAL TASK PERFORMANCE
DRIVING
PREDITIVE PROCESSING
COGNITIVE MODELLING
BRAKE REACTION-TIMES
OPTICAL INFORMATION
PERIPHERAL-VISION
TO-COLLISION
BEHAVIOR
RISK
SPEED
ENVIRONMENT
DYNAMICS
STRATEGY
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