Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
133 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
46 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Manipulating Drivers' Mental Workload: Neuroergonomic Evaluation of the Speed Regulation N-Back Task Using NASA-TLX and Auditory P3a (2405.18099v1)

Published 28 May 2024 in cs.HC

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.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (21)
  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.
  2. A taxonomy of external and internal attention. Annual review of psychology 62 (2011), 73–101.
  3. Dick De Waard and KA Brookhuis. 1996. The measurement of drivers’ mental workload. (1996).
  4. Development of a human cognitive workload assessment tool. MCA Final Report, Lancashire (2006), 1–253.
  5. Neural mechanisms of involuntary attention to acoustic novelty and change. Journal of cognitive neuroscience 10, 5 (1998), 590–604.
  6. Naming norms for brief environmental sounds: Effects of age and dementia. Psychophysiology 33, 4 (1996), 462–475.
  7. From Driver to Supervisor: Comparing Cognitive Load and EEG-based Attention Allocation across Automation Levels. arXiv preprint arXiv:2306.08477 (2023).
  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.
  9. Multitasking while driving: central bottleneck or problem state interference? Human factors (2022), 00187208221143857.
  10. 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.
  11. The BeMoBIL Pipeline for automated analyses of multimodal mobile brain and body imaging data. bioRxiv (2022).
  12. Assessment of mental workload with task-irrelevant auditory probes. Biological psychology 40, 1-2 (1995), 83–100.
  13. ICLabel: An automated electroencephalographic independent component classifier, dataset, and website. NeuroImage 198 (2019), 181–197.
  14. John Polich. 2007. Updating P300: an integrative theory of P3a and P3b. Clinical neurophysiology 118, 10 (2007), 2128–2148.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. Susceptibility to audio signals during autonomous driving. PloS one 13, 8 (2018), e0201963.
  20. Event-related potentials and secondary task performance during simulated driving. Accident Analysis & Prevention 40, 1 (2008), 1–7.
  21. Christopher D Wickens. 2008. Multiple resources and mental workload. Human factors 50, 3 (2008), 449–455.
Citations (1)

Summary

We haven't generated a summary for this paper yet.

X Twitter Logo Streamline Icon: https://streamlinehq.com

Tweets