Towards a new approach to detect sleepiness: Validation of the objective sleepiness scale under simulated driving conditions

The Objective Sleepiness Scale (OSS) was developed to detect and quantify sleepiness on the basis of two direct and reliable sleepiness indicators: EEG and EOG. The present study aims to test whether the OSS can be used to detect sleepiness episodes that impair performance on driving and vigilance tasks accurately and with a good time synchronization. Forty-three healthy volunteers performed monotonous driving sessions on a simulator and the psychomotor vigilance task (PVT) in a normal sleep condition and after partial sleep deprivation. OSS reliability and time synchronization for sleepiness detection were tested on driving (standard deviation of vehicle lateral position and off-road duration) and PVT (reaction time and lapses). Inter-rater reliability of the scale was evaluated by two blinded scorers. Results show that the OSS score indicates higher sleepiness in sleep deprivation conditions (p < 0.001) and with time-on-task. Differences of performance between OSS score calculated with multiple pairwise comparisons, indicate OSS score increase when driving performance (SDLP and off-road duration) decreases (p < 0.001 for comparisons between OSS stages 0 vs 2, 0 vs 3, 1 vs 2 and p < 0.05 for 1 vs 3). Reaction time during PVT is also related to the OSS score (p < 0.05 for OSS values from 0 to 2, 0 to 3, 1 to 2 and 1 to 3). There is no proportional relation between OSS score and performance impairment, but a threshold effect between levels 1 and 2 of the scale is observed. Positive outcomes are also obtained for time synchronization of the OSS assessed on driving performance (p < 0.001 for both SDLP and off-road duration). Finally, inter-rater agreement is found to be considerable. The results allow us to consider using the Objective Sleepiness Scale as a tool for research on sleepiness.

• Record URL:
  • https://doi.org/10.1016/j.trf.2022.08.007
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S1369847822001772
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13698478
• Supplemental Notes:
  • © 2022 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Giot, C
  • 0000-0003-2183-9123
  • Hay, M
  • 0000-0001-6810-0081
  • Chesneau, C
  • Pigeon, E
  • Bonargent, T
  • 0000-0002-0043-0604
  • Beaufils, M
  • Chastan, N
  • Perrier, J
  • 0000-0002-8639-9985
  • Pasquier, F
  • Polvent, S
  • Davenne, D
  • Taillard, J
  • Bessot, N
  • 0000-0002-0587-2022
• Publication Date: 2022-10

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 109-119
• Serial:
  • Transportation Research Part F: Traffic Psychology and Behaviour
  • Volume: 90
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1369-8478
  • Serial URL: http://www.sciencedirect.com/science/journal/13698478

Subject/Index Terms

• TRT Terms: Alertness; Driver performance; Drowsiness; Physiology; Reaction time; Sleep deprivation
• Subject Areas: Highways; Safety and Human Factors;

Filing Info

• Accession Number: 01860526
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 5 2022 2:02PM