skip to main content
10.1145/3581961.3609887acmconferencesArticle/Chapter ViewAbstractPublication PagesautomotiveuiConference Proceedingsconference-collections
Work in Progress

Manipulating Drivers' Mental Workload: Neuroergonomic Evaluation of the Speed Regulation N-Back Task Using NASA-TLX and Auditory P3a

Published:18 September 2023Publication History

ABSTRACT

Manipulating MW in driving simulator studies without the need to introduce a non-driving-related task remains challenging. This study aims to empirically evaluate the modified speed regulation n-back task, a tool to manipulate drivers’ MW. Our experiment involved 23 participants who experienced a 0-back and 2-back driving condition, with task-irrelevant novel environmental sounds used to elicit P3a event-related potentials. Results indicate that the 2-back condition was perceived as more demanding, evidenced by higher NASA-TLX scores (overall score, mental and temporal demand, effort, frustration). The mean P3a amplitude was diminished during the 2-back condition compared to the 0-back condition, suggesting that drivers experienced higher MW and had fewer resources available to process the novel environmental sounds. This study provides empirical evidence indicating that the speed regulation n-back task could be a valid, effective, and reproducible method to manipulate MW in driving research.

References

  1. B Rael Cahn and John Polich. 2009. Meditation (Vipassana) and the P3a event-related brain potential. International journal of psychophysiology 72, 1 (2009), 51–60.Google ScholarGoogle Scholar
  2. Marvin M Chun, Julie D Golomb, and Nicholas B Turk-Browne. 2011. A taxonomy of external and internal attention. Annual review of psychology 62 (2011), 73–101.Google ScholarGoogle Scholar
  3. Dick De Waard and KA Brookhuis. 1996. The measurement of drivers’ mental workload. (1996).Google ScholarGoogle Scholar
  4. David Embrey, Claire Blackett, Philip Marsden, and Jim Peachey. 2006. Development of a human cognitive workload assessment tool. MCA Final Report, Lancashire (2006), 1–253.Google ScholarGoogle Scholar
  5. Carles Escera, Kimmo Alho, István Winkler, and Risto Näätänen. 1998. Neural mechanisms of involuntary attention to acoustic novelty and change. Journal of cognitive neuroscience 10, 5 (1998), 590–604.Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Monica Fabiani, Victoria A Kazmerski, Yael M Cycowicz, and David Friedman. 1996. Naming norms for brief environmental sounds: Effects of age and dementia. Psychophysiology 33, 4 (1996), 462–475.Google ScholarGoogle ScholarCross RefCross Ref
  7. Nikol Figalová, Hans-Joachim Bieg, Julian Elias Reiser, Yuan-Cheng Liu, Martin Baumann, Lewis Chuang, and Olga Pollatos. 2023. From Driver to Supervisor: Comparing Cognitive Load and EEG-based Attention Allocation across Automation Levels. arXiv preprint arXiv:2306.08477 (2023).Google ScholarGoogle Scholar
  8. Sandra G Hart and Lowell E Staveland. 1988. Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research. In Advances in psychology. Vol. 52. Elsevier, 139–183.Google ScholarGoogle Scholar
  9. Moritz Held, Jochem W Rieger, and Jelmer P Borst. 2022. Multitasking while driving: central bottleneck or problem state interference?Human factors (2022), 00187208221143857.Google ScholarGoogle Scholar
  10. Philipp Hock, Johannes Kraus, Franziska Babel, Marcel Walch, Enrico Rukzio, and Martin Baumann. 2018. How to design valid simulator studies for investigating user experience in automated driving: review and hands-on considerations. In Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. 105–117.Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Marius Klug, Sein Jeung, Anna Wunderlich, Lukas Gehrke, Janna Protzak, Zakaria Djebbara, Andreas Argubi-Wollesen, Bettina Wollesen, and Klaus Gramann. 2022. The BeMoBIL Pipeline for automated analyses of multimodal mobile brain and body imaging data. bioRxiv (2022).Google ScholarGoogle Scholar
  12. Arthur F Kramer, Leonard J Trejo, and Darryl Humphrey. 1995. Assessment of mental workload with task-irrelevant auditory probes. Biological psychology 40, 1-2 (1995), 83–100.Google ScholarGoogle Scholar
  13. Luca Pion-Tonachini, Ken Kreutz-Delgado, and Scott Makeig. 2019. ICLabel: An automated electroencephalographic independent component classifier, dataset, and website. NeuroImage 198 (2019), 181–197.Google ScholarGoogle ScholarCross RefCross Ref
  14. John Polich. 2007. Updating P300: an integrative theory of P3a and P3b. Clinical neurophysiology 118, 10 (2007), 2128–2148.Google ScholarGoogle Scholar
  15. Menja Scheer, Heinrich H Bülthoff, and Lewis L Chuang. 2016. Steering demands diminish the early-P3, late-P3 and RON components of the event-related potential of task-irrelevant environmental sounds. Frontiers in human neuroscience 10 (2016), 73.Google ScholarGoogle Scholar
  16. Jakob Scheunemann, Anirudh Unni, Klas Ihme, Meike Jipp, and Jochem W Rieger. 2019. Demonstrating brain-level interactions between visuospatial attentional demands and working memory load while driving using functional near-infrared spectroscopy. Frontiers in human neuroscience (2019), 542.Google ScholarGoogle Scholar
  17. Evona Teh, Samantha Jamson, Oliver Carsten, and Hamish Jamson. 2014. Temporal fluctuations in driving demand: The effect of traffic complexity on subjective measures of workload and driving performance. Transportation research part F: traffic psychology and behaviour 22 (2014), 207–217.Google ScholarGoogle Scholar
  18. Anirudh Unni, Klas Ihme, Meike Jipp, and Jochem W Rieger. 2017. Assessing the driver’s current level of working memory load with high density functional near-infrared spectroscopy: A realistic driving simulator study. Frontiers in human neuroscience 11 (2017), 167.Google ScholarGoogle Scholar
  19. Remo MA Van der Heiden, Christian P Janssen, Stella F Donker, Lotte ES Hardeman, Keri Mans, and J Leon Kenemans. 2018. Susceptibility to audio signals during autonomous driving. PloS one 13, 8 (2018), e0201963.Google ScholarGoogle ScholarCross RefCross Ref
  20. Anne E Wester, Koen BE Böcker, Edmund R Volkerts, Joris C Verster, and J Leon Kenemans. 2008. Event-related potentials and secondary task performance during simulated driving. Accident Analysis & Prevention 40, 1 (2008), 1–7.Google ScholarGoogle ScholarCross RefCross Ref
  21. Christopher D Wickens. 2008. Multiple resources and mental workload. Human factors 50, 3 (2008), 449–455.Google ScholarGoogle Scholar

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Conferences
    AutomotiveUI '23 Adjunct: Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
    September 2023
    382 pages
    ISBN:9798400701122
    DOI:10.1145/3581961

    Copyright © 2023 Owner/Author

    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 18 September 2023

    Check for updates

    Qualifiers

    • Work in Progress
    • Research
    • Refereed limited

    Acceptance Rates

    Overall Acceptance Rate248of566submissions,44%

    Upcoming Conference

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format .

View HTML Format