Integration of physical and cognitive human models to simulate driving with a secondary in-vehicle task
Authors: Helen J. A. Fuller, Matthew P. Reed, Yili Liu.
Human behavior models give insight into people-s choices and actions and are tools for predicting performance and improving interface design. Most models focus on a task-s cognitive aspects or its physical requirements. This research addresses the divide between cognitive and physical models by combining two models to produce an integrated cognitive-physical human model that enables studying of complex human-machine interactions. The capabilities of the integrated model are evaluated in a task scenario with both cognitive and physical components, i.e., driving while performing a secondary in-vehicle task. When applied in this way, the integrated model is called the Virtual Driver model and can replicate basic driving, in-vehicle tasks, and resource-sharing behaviors, providing a new way to study driver distraction. The model has applicability to interface design and predicting staffing requirements and performance.