TY - JOUR
T1 - Performance trends during sleep deprivation on a tilt-based control task
AU - Bolkhovsky, Jeffrey B.
AU - Ritter, Frank E.
AU - Chon, Ki H.
AU - Qin, Michael
N1 - Funding Information:
We would like to thank Natasa Reljin, David Gever, Matthew Babina, Stewart Simpson, and Sarah Chabal for their supporting roles for writing this paper. We would also like to thank the Naval Submarine Medical Research Laboratory for providing funding for this research under work number F1504.
Publisher Copyright:
© by the Aerospace Medical Association, Alexandria, VA.
PY - 2018/7/1
Y1 - 2018/7/1
N2 - BACKGROUND: 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. METHODS: 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. RESULTS: 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). DISCUSSION: 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.
AB - BACKGROUND: 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. METHODS: 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. RESULTS: 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). DISCUSSION: 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.
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U2 - 10.3357/AMHP.4843.2018
DO - 10.3357/AMHP.4843.2018
M3 - Article
C2 - 29921354
AN - SCOPUS:85049530630
VL - 89
SP - 626
EP - 633
JO - Aerospace medicine and human performance
JF - Aerospace medicine and human performance
SN - 2375-6314
IS - 7
ER -