Performance Trends During Sleep Deprivation on a Tilt-Based Control Task

Understanding human behavior under the effects of sleep deprivation allows for the mitigation of risk due to reduced performance. To further this goal, this study investigated the effects of short-term sleep deprivation using a tilt-based control device and examined whether existing user models accurately predict targeting performance. A task in which the user tilts a surface to roll a ball into a target was developed to examine motor performance. A model was built to predict human performance for this task under various levels of sleep deprivation. Every 2 h, 10 subjects completed the task until they reached 24 h of wakefulness. Performance measurements of this task, which were based on Fitts’ law, included movement time, task throughput, and time intercept. The model predicted significant performance decrements over the 24-h period with an increase in movement time (R2 = 0.61), a decrease in throughput (R2 = 0.57), and an increase in time intercept (R2 = 0.60). However, it was found that in experimental trials there was no significant change in movement time (R2 = 0.11), throughput (R2 = 0.15), or time intercept (R2 = 0.27). The results found were unexpected as performance decrement is frequently reported during sleep deprivation. These findings suggest a reexamination of the initial thought of sleep loss leading to a decrement in all aspects of performance.

• Record URL:
  • https://doi.org/10.3357/AMHP.4843.2018
• Record URL:
  • https://www.ingentaconnect.com/content/asma/amhp/2018/00000089/00000007/art00008
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/23756314
• Supplemental Notes:
  • Abstract reprinted with permission of the Aerospace Medical Association.
• Authors:
  • Bolkhovsky, Jeffrey B
  • Ritter, Frank E
  • Chon, Ki H
  • Qin, Michael
• Publication Date: 2018-7

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 626-633
• Serial:
  • Aerospace Medicine and Human Performance
  • Volume: 89
  • Issue Number: 7
  • Publisher: Aerospace Medical Association
  • ISSN: 2375-6314
  • EISSN: 2375-6322
  • Serial URL: http://ingentaconnect.com/content/asma/asem

Subject/Index Terms

• TRT Terms: Behavior; Driver performance; Physiology; Sleep deprivation
• Subject Areas: Aviation; Safety and Human Factors;

Filing Info

• Accession Number: 01682368
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 28 2018 3:01PM