Simulating Attention Distribution of a Driver Model: How to Relate Expectancy and Task Value?
Wortelen, Bertram and Lüdtke, Andreas and Baumann, Martin
Proceedings of the 12th International Conference on Cognitive Modeling
This work discusses two distinct formulations of a simulation model for human attention allocation. The purpose of the Adaptive Information Expectancy (AIE) model is to work as an integral part of a cognitive architecture in order to allow accurate simulations of the attention distribution for various cognitive models. The distribution of attention is calculated based on the two influencing factors event expectancy and task value. In related work these factors have been either related by addition or by multiplication. In the current paper both alternatives have been used to simulate a cognitive driver model. Better model fits to human drivers were observed for the additive variant. However, a closer look at the data does not necessarily argue against the multiplicative variant.
07 / 2013
inproceedings
D3CoS
Designing Dynamic Distributed Cooperative Systems
Designing Dynamic Distributed Cooperative Systems
Robert West, Terry Stewart
