A cognitive constraint model of dual-task trade-offs in a highly dynamic driving task

The paper describes an approach to modeling the strategic variations in performing secondary tasks while driving. In contrast to previous efforts that are based on simulation of a cognitive architecture interacting with a task environment, we take an approach that develops a cognitive constraint model of the interaction between the driver and the task environment in order to make inferences about dual-task performance. Analyses of driving performance data reveal that a set of simple equations can be used to accurately model changes in the lateral position of the vehicle within the lane. The model quantifies how the vehicle's deviation from lane center increases during periods of inattention, and how the vehicle returns to lane center during periods of active steering. We demonstrate the benefits of the approach by modeling the dialing of a cellular phone while driving, where drivers balance the speed in performing the dial task with accuracy (or safety) in keeping the vehicle cen...

• Type: Conference
• Year: 2007
• Where: CHI
• Authors: Duncan P. Brumby, Andrew Howes, Dario D. Salvucci
• Keywords: CHI 2007, Extreme Lane Deviation, Human Computer Interaction, Lane Center Increases, Task Environment