TY - JOUR PY - 2006// TI - Modeling drivers' visual attention allocation while interacting with in-vehicle technologies JO - Journal of experimental psychology: applied A1 - Horrey, William J. A1 - Wickens, Christopher D. A1 - Consalus, Kyle P. SP - 67 EP - 78 VL - 12 IS - 2 N2 - 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
LA - en SN - 1076-898X UR - http://dx.doi.org/10.1037/1076-898X.12.2.67 ID - ref1 ER -