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As driver distraction from in-vehicle devices increasingly becomes
a concern, researchers have searched for better scientific understanding
of distraction along with better engineering tools to build less
distracting devices. We have developed a new system, Distract-R,
that allows designers to rapidly prototype and evaluate new in-vehicle
interfaces. The core engine of the system relies on a rigorous driver
model specified in ACT-R extended with threaded cognition,
and uses an integrated-model approach
with models of behavior on the prototyped interfaces to generate
predictions of distraction. Distract-R allows a designer to prototype
basic interfaces, demonstrate possible tasks on these interfaces,
specify relevant driver characteristics and driving scenarios, and
finally simulate, visualize, and analyze the resulting behavior
as generated by the cognitive model. We have performed sample studies
that demonstrate the system’s ability to account for effects
of input modality and driver age on performance.
System
Note: The simulation graphics require that you have the JOGL (Java OpenGL) package installed on your computer; please visit the JOGL web site to download and install the latest release. Without JOGL, you should still be able to run both the application and the applet above, but the simulation graphics will be disabled.
Extras
Primary Reference
Salvucci, D. D. (2009). Rapid prototyping and evaluation of in-vehicle interfaces. ACM Transactions on Human-Computer Interaction.
Other References
Salvucci, D. D., Zuber, M., Beregovaia, E., & Markley, D. (2005). Distract-R: Rapid prototyping
and evaluation of in-vehicle interfaces. In Human Factors
in Computing Systems: CHI 2005 Conference Proceedings (pp. 581-589).
New York: ACM Press.
Salvucci, D. D., & Taatgen, N. A. (2008). Threaded cognition: An integrated
theory of concurrent multitasking. Psychological Review, 115, 101-130.
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.
This work was sponsored by grants from the Office of Naval Research (#N00014-03-1-0036), the National Science Foundation (#IIS-0426674), and Ford Motor Company. Any results or opinions expressed are solely those of the individual researchers and do not represent the views of the sponsor organizations. |