A Saliency-Based Search Model

Abstract

Driver distraction is a leading cause of motor vehicle crashes. As more in-vehicle systems are developed, they represent increasing potential for distraction. Designers of these systems require a quantitative way to assess their distraction potential that does not involve time-consuming test track or simulator testing. A critical contribution to driver distraction concerns the search time for items in an in-vehicle system display. This study tests the saliency map’s ability to predict search time, and proposes a potential application of the saliency map in assessing driver distraction. Empirical data for search tasks were collected and used to test a modified driver model based on the saliency map. The results show that the modified saliency map can predict search time, and suggest that the driver model could be used to understand how design features influence the bottom-up visual search process. More broadly, such a model can complement guidelines and user testing to help designers to incorporate human factors considerations earlier in the design process.