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Jiali Song; Benjamin Wolfe – Cognitive Research: Principles and Implications, 2024
The low prevalence effect (LPE) is a cognitive limitation commonly found in visual search tasks, in which observers miss rare targets. Drivers looking for road hazards are also subject to the LPE. However, not all road hazards are equal; a paper bag floating down the road is much less dangerous than a rampaging moose. Here, we asked whether…
Descriptors: Traffic Safety, Motor Vehicles, Incidence, Identification
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
Piesie A. G. Asuako; Robert Stojan; Otmar Bock; Melanie Mack; Claudia Voelcker-Rehage – Cognitive Research: Principles and Implications, 2025
It is well established that performing multiple tasks simultaneously (dual-tasking) or sequentially (task-switching) degrades performance on one or both tasks. However, it is unknown whether task-switching adds to the effects of dual-tasking in a single setup. We investigated this in a simulated everyday-like car driving scenario. We expected an…
Descriptors: Task Analysis, Time Management, Motor Vehicles, Performance
Reem Jalal Eddine; Claudio Mulatti; Francesco N. Biondi – Cognitive Research: Principles and Implications, 2024
The use of partially-automated systems require drivers to supervise the system functioning and resume manual control whenever necessary. Yet literature on vehicle automation show that drivers may spend more time looking away from the road when the partially-automated system is operational. In this study we answer the question of whether this…
Descriptors: Motor Vehicles, Attention Control, Artificial Intelligence, Eye Movements
Prerika R. Sharma; Emily R. Spearing; Kimberley A. Wade; Laura Jobson – Cognitive Research: Principles and Implications, 2024
Accuracy of memory is critical in legal and clinical contexts. These contexts are often linked with high levels of emotional distress and social sources that can provide potentially distorting information about stressful events. This study investigated how distress was associated with susceptibility to misinformation about a trauma analogue event.…
Descriptors: Emotional Response, Stress Variables, Misinformation, Risk
Mutzenich, Clare; Durant, Szonya; Helman, Shaun; Dalton, Polly – Cognitive Research: Principles and Implications, 2021
The introduction of autonomous vehicles (AVs) could prevent many accidents attributable to human driver error. However, even entirely driverless vehicles will sometimes require remote human intervention. Current taxonomies of automated driving do not acknowledge the possibility of remote control of AVs or the challenges that are unique to such a…
Descriptors: Motor Vehicles, Accidents, Prevention, Cognitive Processes
Monika Lohani; Joel M. Cooper; Amy S. McDonnell; Gus G. Erickson; Trent G. Simmons; Amanda E. Carriero; Kaedyn W. Crabtree; David L. Strayer – Cognitive Research: Principles and Implications, 2024
The reliability of cognitive demand measures in controlled laboratory settings is well-documented; however, limited research has directly established their stability under real-life and high-stakes conditions, such as operating automated technology on actual highways. Partially automated vehicles have advanced to become an everyday mode of…
Descriptors: Cognitive Processes, Difficulty Level, Automation, Psychophysiology
Silvia Guidi; Anna Kosovicheva; Benjamin Wolfe – Cognitive Research: Principles and Implications, 2024
Drivers must respond promptly to a wide range of possible road hazards, from trucks veering into their lane to pedestrians stepping onto the road. While drivers' vision is tested at the point of licensure, visual function can degrade, and drivers may not notice how these changes impact their ability to notice and respond to events in the world in…
Descriptors: Foreign Countries, Adults, Traffic Safety, Motor Vehicles
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
Investigating the Influence of Visuospatial Stimuli on Driver's Speed Perception: A Laboratory Study
Köhler, Anna-Lena; Klatt, Maren; Koch, Iring; Ladwig, Stefan – Cognitive Research: Principles and Implications, 2023
Driving at an inappropriate speed is a major accident cause in the EU. Understanding the underlying sensory mechanisms can help to reduce speed and increase traffic safety. The present study investigated the effect of visuospatial stimuli on speed perception using an adaptive countermeasure to speeding based on a manipulation of optic flow. We…
Descriptors: Traffic Safety, Motor Vehicles, Accidents, Sensory Integration
Nicholas J. Wyche; Mark Edwards; Stephanie C. Goodhew – Cognitive Research: Principles and Implications, 2024
The Useful Field of View task (UFOV) is a strong and reliable predictor of crash risk in older drivers. However, while the functional domain of attention is clearly implicated in UFOV performance, the potential role of one specific attentional process remains unclear: attentional breadth (the spatial extent of the attended region around the point…
Descriptors: Task Analysis, Older Adults, Attention Control, Risk
Marina Pi-Ruano; Alexandra Fort; Pilar Tejero; Christophe Jallais; Javier Roca – Cognitive Research: Principles and Implications, 2024
Partially autonomous vehicles can help minimize human errors. However, being free from some driving subtasks can result in a low vigilance state, which can affect the driver's attention towards the road. The present study first tested whether drivers of partially autonomous vehicles would benefit from the addition of auditory versions of the…
Descriptors: Brain Hemisphere Functions, Diagnostic Tests, Task Analysis, Motor Vehicles
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
Rann, Jonathan C.; Almor, Amit – Cognitive Research: Principles and Implications, 2022
We report results from a driving simulator paradigm we developed to test the fine temporal effects of verbal tasks on simultaneous tracking performance. A total of 74 undergraduate students participated in two experiments in which they controlled a cursor using the steering wheel to track a moving target and where the dependent measure was overall…
Descriptors: Verbal Communication, Undergraduate Students, Computer Simulation, Motor Vehicles