Citation

Horrey WJ, Wickens CD, Consalus KP. J. Exp. Psychol. Appl. 2006; 12(2): 67-78.

Affiliation

Department of Psychology, University of Illinois at Urbana-Champaign, IL, US. william.horrey@libertymutual.com.

Copyright

(Copyright © 2006, American Psychological Association)

DOI

10.1037/1076-898X.12.2.67

PMID

16802889

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;

Language: en