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Assessing Cognitive Distraction in the Automobile.

David L Strayer1, Jonna Turrill2, Joel M Cooper3

  • 1University of Utah, Salt Lake CityPrecision Driving Research, Salt Lake City, UtahUniversity of Utah, Salt Lake CityUniversity of Illinois, Urbana-ChampaignUniversity of Padova, Padova, Italy David.Strayer@utah.edu.

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|November 5, 2015
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Summary

Driver distraction from in-vehicle tasks impairs driving performance. Cognitive workload varies by activity, with voice-based systems posing potential safety risks. Policies should address cognitive distraction.

Keywords:
EEGcognitive distractioncognitive workloaddivided attentiondrivingmultitaskingvisual scanning behavior

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Area of Science:

  • Human-Computer Interaction
  • Traffic Safety Research
  • Cognitive Psychology

Background:

  • Driver distraction from secondary in-vehicle tasks is a major cause of traffic accidents.
  • Understanding cognitive distraction is crucial for improving road safety.

Purpose of the Study:

  • To develop a systematic framework for measuring cognitive distraction in automobiles.
  • To quantify the impact of various in-vehicle activities on driving performance.

Main Methods:

  • Three studies involved participants performing eight common in-vehicle tasks.
  • Collected primary, secondary, subjective, and physiological measures.
  • Integrated data into a cognitive distraction scale.

Main Results:

  • Listening to audio (radio, audiobooks) showed low cognitive workload.
  • Conversations (passenger, phone) indicated moderate cognitive workload.
  • Speech-to-text email systems resulted in high cognitive workload.

Conclusions:

  • Driving impairments are directly linked to the cognitive workload of concurrent in-vehicle activities.
  • Voice-based systems may unintentionally compromise traffic safety.
  • Findings support evidence-based policies for managing driver distraction.