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Exploring differences in the impact of auditory and visual demands on driver behavior

Published: 17 October 2012 Publication History

Abstract

This study compared the performance metrics of drivers who carried out visual-manipulative and auditory in-vehicle tasks while driving. Although these two different types of secondary tasks resulted in similar levels of self-reported workload, performing the visual tasks had a much greater impact on measurements of lateral control and resulted in greater compensatory behavior. While performing the auditory tasks, the overlap in drivers' processing resources was less than that of the visual task. However, competition over cognitive (or central) resources was revealed through the drivers' eye movements. A reduction in the allocation of visual attention, as observed through the concentration of gaze while performing the auditory tasks, suggests that tasks involving an increase in cognitive workload can also impact driving performance. The impact on performance can cause safety concerns as drivers' compensatory adjustments have been observed to result in slower reaction times. These findings are consistent with the Multiple Resources Theory [1] and provide some quantitative support for the theory.

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  • (2023)A Survey on Measuring Cognitive Workload in Human-Computer InteractionACM Computing Surveys10.1145/358227255:13s(1-39)Online publication date: 13-Jul-2023
  • (2023)The Influence of Interaction Channel and Difficulty Level of In-Vehicle Information System on Driver’s Reading Behavior in Fully Autonomous VehicleHuman-Computer Interaction10.1007/978-3-031-35599-8_28(420-433)Online publication date: 9-Jul-2023
  • (2019)Unimodal and Multimodal Signals to Support Control Transitions in Semiautonomous VehiclesProceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3342197.3344522(308-318)Online publication date: 21-Sep-2019
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cover image ACM Other conferences
AutomotiveUI '12: Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
October 2012
280 pages
ISBN:9781450317511
DOI:10.1145/2390256
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 17 October 2012

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Author Tags

  1. distraction
  2. driving behavior
  3. eye movements
  4. in-vehicle system
  5. secondary task
  6. workload

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AutomotiveUI '12

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Overall Acceptance Rate 248 of 566 submissions, 44%

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Cited By

View all
  • (2023)A Survey on Measuring Cognitive Workload in Human-Computer InteractionACM Computing Surveys10.1145/358227255:13s(1-39)Online publication date: 13-Jul-2023
  • (2023)The Influence of Interaction Channel and Difficulty Level of In-Vehicle Information System on Driver’s Reading Behavior in Fully Autonomous VehicleHuman-Computer Interaction10.1007/978-3-031-35599-8_28(420-433)Online publication date: 9-Jul-2023
  • (2019)Unimodal and Multimodal Signals to Support Control Transitions in Semiautonomous VehiclesProceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3342197.3344522(308-318)Online publication date: 21-Sep-2019
  • (2018)The Relationship Between Rhythm Variation and Distance Perception in Auditory In-Vehicle InterfacesProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/154193121862143862:1(1929-1933)Online publication date: 27-Sep-2018
  • (2017)A INTERAÇÃO SONORA COM SISTEMAS EMBARCADOS EM VEÍCULOSBlucher Design Proceedings10.5151/16ergodesign-0220(2108-2119)Online publication date: Aug-2017
  • (2015)Does gender make a difference to performing in‐vehicle tasks?IET Intelligent Transport Systems10.1049/iet-its.2013.01179:4(359-365)Online publication date: May-2015
  • (2015)Driver Workload Detection in On-Road Driving Environment Using Machine LearningProceedings of ELM-2014 Volume 210.1007/978-3-319-14066-7_37(389-398)Online publication date: 2015
  • (2014)Hybrid fNIRS-EEG based classification of auditory and visual perception processesFrontiers in Neuroscience10.3389/fnins.2014.003738Online publication date: 18-Nov-2014

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