Cognitive factor forming an individual constituent in a driver model inferred from multiplicatory relationships between cognitive sub-factors
Firas Lethaus, Robert Kaul

TL;DR
This paper introduces a computational driver model component based on a multiplicatory relationship among cognitive sub-factors like distraction, anticipation, stress, and strain, each involving multiple sensory channels, to better simulate human driving behavior.
Contribution
It presents a novel multiplicatory framework for a cognitive factor in driver modeling, integrating multiple sub-factors and sensory channels in a modular, lattice-like network.
Findings
Defines a multiplicatory relationship among cognitive sub-factors.
Creates a modular, expandable network of cognitive relationships.
Provides a conceptual topology of the cognitive factor.
Abstract
In order to reproduce human behaviour in dynamic traffic situations, a computational representation of the requisite mental processes used to carry out the complex driving tasks is required. A single cognitive factor has been developed and forms a crucial component in our driver model. This cognitive factor is composed of cognitive sub-factors: distraction, anticipation, stress, and strain. It has been defined such that these sub-factors have a multiplicatory relationship with one another. In addition, each of these sub-factors comprises the visual, auditory, tactile-kinetic, and verbal information channel individually. This results in a lattice-like network of relationships, which can be expanded modularly in horizontal and vertical directions. The conceptual topology and the characteristics of this multiplicatory, operation-based cognitive factor are presented.
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Taxonomy
TopicsHuman-Automation Interaction and Safety · Mind wandering and attention · Mental Health Research Topics
