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Defining workload in the context of driver state detection and HMI evaluation

Published: 17 October 2012 Publication History

Abstract

Workload is a dynamic concept that can have different meanings depending on the investigative perspective and the question being asked. Awareness of these methodological distinctions is essential when interpreting research and human machine interface evaluations. Understanding workload within the contexts of objective demand vs. effective workload, physical vs. mental workload, task pacing, automation, technology education, measurement context and distraction are among the themes raised in this brief review.

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Cited By

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  • (2022)Assessing Cognitive Workload Using Cardiovascular Measures and VoiceSensors10.3390/s2218689422:18(6894)Online publication date: 13-Sep-2022
  • (2020)On Driver Behavior Recognition for Increased Safety: A RoadmapSafety10.3390/safety60400556:4(55)Online publication date: 12-Dec-2020
  • (2019)From Manual Driving to Automated DrivingProceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3342197.3344529(70-90)Online publication date: 21-Sep-2019
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  1. Defining workload in the context of driver state detection and HMI evaluation

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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. HMI design
      2. automation
      3. distraction
      4. individual differences
      5. mental workload
      6. physiology
      7. state detection
      8. workload

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      Cited By

      View all
      • (2022)Assessing Cognitive Workload Using Cardiovascular Measures and VoiceSensors10.3390/s2218689422:18(6894)Online publication date: 13-Sep-2022
      • (2020)On Driver Behavior Recognition for Increased Safety: A RoadmapSafety10.3390/safety60400556:4(55)Online publication date: 12-Dec-2020
      • (2019)From Manual Driving to Automated DrivingProceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3342197.3344529(70-90)Online publication date: 21-Sep-2019
      • (2018)Comparison of Teleportation and Fixed Track Driving in VR2018 10th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games)10.1109/VS-Games.2018.8493414(1-7)Online publication date: Sep-2018
      • (2017)Cognitive workload classification using cardiovascular measures and dynamic features2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)10.1109/CogInfoCom.2017.8268269(000351-000356)Online publication date: Sep-2017
      • (2013)A data set of real world driving to assess driver workloadProceedings of the 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/2516540.2516561(150-157)Online publication date: 28-Oct-2013
      • (2013)Defining "Critical Speed" in Driver-Vehicle SystemsProceedings of the 2013 IEEE International Conference on Systems, Man, and Cybernetics10.1109/SMC.2013.708(4155-4160)Online publication date: 13-Oct-2013

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