Driver Distraction
As technology advances at an ever increasing rate, car manufacturers
now have the ability to incorporate increasingly sophisticated devices
in vehicles for both driver support (e.g., navigation aids) and
"infotainment" (e.g., news and email). Such devices may clearly
be helpful, entertaining, or even critical in certain situations;
however they also have the serious potential to lead to "driver
distraction" -- inattention to the primary driving task when performing
a secondary. It is essential that we understand how in-car devices
lead to driver distraction so that we can maintain a safe and pleasant
driving environment for the driver as well as others on the roadway.
We are exploring how to predict the sources and effects of driver
distraction using an "integrated model" approach. This approach
centers on combining our integrated
driver model with models of behavior for secondary tasks (e.g.,
dialing a cell phone) and predicting the behavior that arises from
their interaction. In various studies, we have successfully modeled
the distractions effects of tasks such as cell-phone dialing and
radio tuning, as well as effects of primarily cognitive tasks. We
have also modeled the age effects between older and younger drivers.
The integrated model approach serves as the foundation for a rapid
prototyping tool, Distract-R,
that allows users to compare and test new, potentially distracting
devices in very early stages of design. This approached, combined
with new empirical work -- such as our study of iPod
distraction -- lay the groundwork for more comprehensive efforts
that aim to understand and alleviate driver distraction.
Primary References
Salvucci, D. D. (2001). Predicting the effects of in-car interface use
on driver performance: An integrated model approach. International
Journal of Human-Computer Studies, 55, 85-107.
Salvucci, D. D. (2005). A multitasking
general executive for compound continuous tasks. Cognitive
Science, 29, 457-492.
Related References
Salvucci, D. D. (2006). Modeling
driver behavior in a cognitive architecture. Human Factors,
48, 362-380.
Salvucci, D. D., & Macuga, K. L. (2002). Predicting the effects of cellular-phone dialing
on driver performance. Cognitive Systems Research, 3,
95-102.
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