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Joel M. Cooper; Kaedyn W. Crabtree; Amy S. McDonnell; Dominik May; Sean C. Strayer; Tushig Tsogtbaatar; Danielle R. Cook; Parker A. Alexander; David M. Sanbonmatsu; David L. Strayer – Cognitive Research: Principles and Implications, 2023
Vehicle automation is becoming more prevalent. Understanding how drivers use this technology and its safety implications is crucial. In a 6-8 week naturalistic study, we leveraged a hybrid naturalistic driving research design to evaluate driver behavior with Level 2 vehicle automation, incorporating unique naturalistic and experimental control…
Descriptors: Motor Vehicles, Automation, Information Technology, Behavior
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Kondyli, Vasiliki; Bhatt, Mehul; Levin, Daniel; Suchan, Jakob – Cognitive Research: Principles and Implications, 2023
How do the limits of high-level visual processing affect human performance in naturalistic, dynamic settings of (multimodal) interaction where observers can draw on experience to strategically adapt attention to familiar forms of complexity? In this backdrop, we investigate change detection in a driving context to study attentional allocation…
Descriptors: Motor Vehicles, Visual Perception, Attention, Spatial Ability
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Wolfe, Benjamin; Kosovicheva, Anna; Stent, Simon; Rosenholtz, Ruth – Cognitive Research: Principles and Implications, 2021
While driving, dangerous situations can occur quickly, and giving drivers extra time to respond may make the road safer for everyone. Extensive research on attentional cueing in cognitive psychology has shown that targets are detected faster when preceded by a spatially valid cue, and slower when preceded by an invalid cue. However, it is unknown…
Descriptors: Spatial Ability, Cues, Attention, Reaction Time