Literature DB >> 26534847

Assessing Cognitive Distraction in the Automobile.

David L Strayer1, Jonna Turrill2, Joel M Cooper3, James R Coleman2, Nathan Medeiros-Ward4, Francesco Biondi5.   

Abstract

OBJECTIVE: The objective was to establish a systematic framework for measuring and understanding cognitive distraction in the automobile.
BACKGROUND: Driver distraction from secondary in-vehicle activities is increasingly recognized as a significant source of injuries and fatalities on the roadway.
METHOD: Across three studies, participants completed eight in-vehicle tasks commonly performed by the driver of an automobile. Primary, secondary, subjective, and physiological measures were collected and integrated into a cognitive distraction scale.
RESULTS: In-vehicle activities, such as listening to the radio or an audio book, were associated with a low level of cognitive workload; the conversation activities of talking to a passenger in the vehicle or conversing with a friend on a handheld or hands-free cell phone were associated with a moderate level of cognitive workload; and using a speech-to-text interfaced e-mail system involved a high level of cognitive workload.
CONCLUSION: The research established that there are significant impairments to driving that stem from the diversion of attention from the task of operating a motor vehicle and that the impairments to driving are directly related to the cognitive workload of these in-vehicle activities. Moreover, the adoption of voice-based systems in the vehicle may have unintended consequences that adversely affect traffic safety. APPLICATION: These findings can be used to help inform scientifically based policies on driver distraction, particularly as they relate to cognitive distraction stemming from the diversion of attention to other concurrent activities in the vehicle.
© 2015, Human Factors and Ergonomics Society.

Entities:  

Keywords:  EEG; cognitive distraction; cognitive workload; divided attention; driving; multitasking; visual scanning behavior

Mesh:

Year:  2015        PMID: 26534847     DOI: 10.1177/0018720815575149

Source DB:  PubMed          Journal:  Hum Factors        ISSN: 0018-7208            Impact factor:   2.888


  13 in total

Review 1.  Commonly Used Assessment Method to Evaluate Mental Workload for Multiple Driving Distractions: A Systematic Review.

Authors:  Nurainaa Kabilmiharbi; Nor Kamaliana Khamis; Nor Azila Noh
Journal:  Iran J Public Health       Date:  2022-03       Impact factor: 1.479

2.  A cognitive model of response omissions in distraction paradigms.

Authors:  Karlye A M Damaso; Spencer C Castro; Juanita Todd; David L Strayer; Alexander Provost; Dora Matzke; Andrew Heathcote
Journal:  Mem Cognit       Date:  2021-12-23

3.  The Effect of Cognitive Load on Auditory Susceptibility During Automated Driving.

Authors:  Remo M A Van der Heiden; J Leon Kenemans; Stella F Donker; Christian P Janssen
Journal:  Hum Factors       Date:  2021-03-11       Impact factor: 3.598

4.  Talking to your car can drive you to distraction.

Authors:  David L Strayer; Joel M Cooper; Jonna Turrill; James R Coleman; Rachel J Hopman
Journal:  Cogn Res Princ Implic       Date:  2016-11-14

Review 5.  Executive Function Capacities, Negative Driving Behavior and Crashes in Young Drivers.

Authors:  Elizabeth A Walshe; Chelsea Ward McIntosh; Daniel Romer; Flaura K Winston
Journal:  Int J Environ Res Public Health       Date:  2017-10-28       Impact factor: 3.390

6.  Drivers' Visual Attention Characteristics under Different Cognitive Workloads: An On-Road Driving Behavior Study.

Authors:  Yanli Ma; Shouming Qi; Yaping Zhang; Guan Lian; Weixin Lu; Ching-Yao Chan
Journal:  Int J Environ Res Public Health       Date:  2020-07-25       Impact factor: 3.390

7.  Evaluation of smartphone interactions on drivers' brain function and vehicle control in an immersive simulated environment.

Authors:  Joseph M Baker; Jennifer L Bruno; Aaron Piccirilli; Andrew Gundran; Lene K Harbott; David M Sirkin; Matthew Marzelli; S M Hadi Hosseini; Allan L Reiss
Journal:  Sci Rep       Date:  2021-01-21       Impact factor: 4.379

8.  Real-time prediction of short-timescale fluctuations in cognitive workload.

Authors:  Udo Boehm; Dora Matzke; Matthew Gretton; Spencer Castro; Joel Cooper; Michael Skinner; David Strayer; Andrew Heathcote
Journal:  Cogn Res Princ Implic       Date:  2021-04-09

9.  Grunting's competitive advantage: Considerations of force and distraction.

Authors:  Scott Sinnett; Cj Maglinti; Alan Kingstone
Journal:  PLoS One       Date:  2018-02-22       Impact factor: 3.240

10.  Overloaded and at Work: Investigating the Effect of Cognitive Workload on Assembly Task Performance.

Authors:  Francesco N Biondi; Angela Cacanindin; Caitlyn Douglas; Joel Cort
Journal:  Hum Factors       Date:  2020-06-12       Impact factor: 2.888

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