Peripheral vision in real-world tasks: A systematic review

C Vater, B Wolfe, R Rosenholtz - Psychonomic bulletin & review, 2022 - Springer
Peripheral vision is fundamental for many real-world tasks, including walking, driving, and
aviation. Nonetheless, there has been no effort to connect these applied literatures to …

Does talking on a cell phone, with a passenger, or dialing affect driving performance? An updated systematic review and meta-analysis of experimental studies

JK Caird, SM Simmons, K Wiley, KA Johnston… - Human …, 2018 - journals.sagepub.com
Objective An up-to-date meta-analysis of experimental research on talking and driving is
needed to provide a comprehensive, empirical, and credible basis for policy, legislation …

Assessing cognitive distraction in the automobile

DL Strayer, J Turrill, JM Cooper, JR Coleman… - Human …, 2015 - journals.sagepub.com
Objective: The objective was to establish a systematic framework for measuring and
understanding cognitive distraction in the automobile. Background: Driver distraction from …

Effects of cognitive load on driving performance: The cognitive control hypothesis

J Engström, G Markkula, T Victor, N Merat - Human factors, 2017 - journals.sagepub.com
Objective: The objective of this paper was to outline an explanatory framework for
understanding effects of cognitive load on driving performance and to review the existing …

[HTML][HTML] The effect of cognitive load on Detection-Response Task (DRT) performance during day-and night-time driving: A driving simulator study with young and older …

İ Öztürk, N Merat, R Rowe, S Fotios - … research part F: traffic psychology and …, 2023 - Elsevier
Over the past 25 years, distracted driving and driver inattention have been one of the main
risk factors for road traffic safety. Previous research has shown that increased cognitive load …

Classification of driver distraction: A comprehensive analysis of feature generation, machine learning, and input measures

AD McDonald, TK Ferris, TA Wiener - Human factors, 2020 - journals.sagepub.com
Objective The objective of this study was to analyze a set of driver performance and
physiological data using advanced machine learning approaches, including feature …

Workflow interruption and nurses' mental workload in electronic health record tasks: An observational study

Y Shan, J Shang, Y Yan, X Ye - BMC nursing, 2023 - Springer
Background Workflow interruptions are common in modern work systems. Electronic health
record (EHR) tasks are typical tasks involving human–machine interactions in nursing care …

Identifying cognitive distraction using steering wheel reversal rates

GK Kountouriotis, P Spyridakos, OMJ Carsten… - Accident Analysis & …, 2016 - Elsevier
The influence of driver distraction on driving performance is not yet well understood, but it
can have detrimental effects on road safety. In this study, we examined the effects of visual …

Distractions by work-related activities: The impact of ride-hailing app and radio system on male taxi drivers

T Chen, O Oviedo-Trespalacios, NN Sze… - Accident Analysis & …, 2022 - Elsevier
Use of ride-hailing mobile apps has surged and reshaped the taxi industry. These apps
allow real-time taxi-customer matching of taxi dispatch system. However, there are also …

Leading to distraction: Driver distraction, lead car, and road environment

GK Kountouriotis, N Merat - Accident Analysis & Prevention, 2016 - Elsevier
Driver distraction is strongly associated with crashes and near-misses, and despite the
attention this topic has received in recent years, the effect of different types of distracting task …