@article{ref1,
title="Modeling drivers' visual attention allocation while interacting with in-vehicle technologies",
journal="Journal of experimental psychology: applied",
year="2006",
author="Horrey, William J. and Wickens, Christopher D. and Consalus, Kyle P.",
volume="12",
number="2",
pages="67-78",
abstract="In 2 experiments, the authors examined how characteristics of a simulated traffic environment and in-vehicle tasks impact driver performance and visual scanning and the extent to which a computational model of visual attention (SEEV model) could predict scanning behavior. In Experiment 1, the authors manipulated task-relevant information bandwidth and task priority. In Experiment 2, the authors examined task bandwidth and complexity, while introducing infrequent traffic hazards. Overall, task priority had a significant impact on scanning; however, the impact of increasing bandwidth was varied, depending on whether the relevant task was supported by focal (e.g., in-vehicle tasks; increased scanning) or ambient vision (e.g., lane keeping; no increase in scanning). The computational model accounted for approximately 95% of the variance in scanning across both experiments.    Keywords: Driver distraction;<p />  <p>Language: en</p>",
language="en",
issn="1076-898X",
doi="10.1037/1076-898X.12.2.67",
url="http://dx.doi.org/10.1037/1076-898X.12.2.67"
}