Journal
JOURNAL OF EXPERIMENTAL PSYCHOLOGY-APPLIED
Volume 12, Issue 2, Pages 67-78Publisher
AMER PSYCHOLOGICAL ASSOC
DOI: 10.1037/1076-898X.12.2.67
Keywords
visual attention; driving; models of scanning; in-vehicle technologies; driver distraction
Categories
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available