Arsintescu, L. A. 1,3, Colletti, L. M. 2,3, Caldwell, J. A

Slides:



Advertisements
Similar presentations
Cosinor analysis of accident risk using SPSS’s regression procedures Peter Watson 31st October 1997 MRC Cognition & Brain Sciences Unit.
Advertisements

Ames Research Center 1October 2006 Aviation Software Systems Workshop FACET: Future Air Traffic Management Concepts Evaluation Tool Aviation Software Systems.
Whiskey in the Courtroom Evolving Trends in Forensic Science NC Indigent Defense Services and the Duke Law Center for Criminal Justice and Professional.
SLEEP & DREAMS. The National Sleep Foundation IQ Test How much do you know about Sleep & Dreams?? In your groups, determine whether the following are.
MEASURING IMPAIRMENT: VALIDATED TEST METHODS FOR ASSESSING SEDATING MEDICATIONS Gary G. Kay, Ph.D. Associate Clinical Professor of Neurology Director,
Driver sleepiness accounts for a substantial proportion of fatal and severe crashes A critical component to mitigate sleep-related crashes is the driver’s.
Hush-a-by mummy: interactions between co-sleeping and maternal sleep disturban ce Ashleigh Filtness*, Janelle Mackenzie, Kerry Armstrong CARRS-Q, Queensland.
The Role of Sleep in Motor Skill Learning Timothy Rickard, Denise Cai, Cory Rieth, Jason Jones, & Colin Ard University of California, San Diego.
Monotony of road environment and driver fatigue: a simulator study Professor: Liu Student: Ruby.
Fatigue and driving. What is fatigue? Subjective experience of sleepiness, tiredness, lack of energy that cause decrease in performance and arousal. Five.
The Duration of Eyelid Movements During Blinks: Changes with Drowsiness Tucker, AJ, Johns, MW Sleep Diagnostics Pty Ltd Melbourne, Australia Introduction.
RIGHT PARIETAL CORTEX PLAYS A CRITICAL ROLE IN CHANGE BLINDNESS by Naser Aljundi.
Method Participants –In total, 26 participants (19 females and 7 males) –Mean age of 24 yrs (SD = 2.46; range = 20-28) Materials –Karolinska sleepiness.
Fatigue, sleep restriction and driving performance Professor: Liu Student: Ruby.
Introduction  Recent neuroimaging studies of memory retrieval have reported the activation of a medial and left – lateralised memory network that includes.
Sandy Lozito ATM2003 June 2003 The Impact of Voice, Data Link, and Mixed Modality Environments on Flight Deck Procedures Sandy Lozito 1, Savvy Verma 2,
Interaction of Time and Children on Distress (Fig. 2) After controlling for baseline IESR, the main effect of children on IESR at 5-month follow up was.
Theoretical distributions: the Normal distribution.
Results & Discussion Effects of cumulus clouds on microclimate and shoot-level photosynthetic gas exchange in Picea engelmannii and.
ABSTRACT ACKNOWLEDGEMENTS PRACTICAL APPLICATION INTRODUCTION PURPOSE: The purpose of this pilot study was to determine the influence of lower-body compression.
Effects of Word Concreteness and Spacing on EFL Vocabulary Acquisition 吴翼飞 (南京工业大学,外国语言文学学院,江苏 南京211816) Introduction Vocabulary acquisition is of great.
MEASUREMENT OF COMPETITION LEVEL ANXIETY OF COLLEGE LEVEL ATHLETES BY USING SCAT Dr. Subhabrata Kar Assistant Professor, Department of Physical Education,
Click for next page ->
Suppressive effect of combined treatment of orthokeratology and 0
Developmental change and stability of personality
 “Textisms”: The Comfort of the Recipient
Difference in Mls poured between the subject and the researcher
Kimron Shapiro & Frances Garrad-Cole The University of Wales, Bangor
EFFECT OF CAFFEINE ON RECOVERY FROM AN ENDURANCE CYCLING EVENT
Incarcerated Men and Their Partners: A Relationship Intervention Study
Effects of Previous Performance Beliefs on Perceptual Responses and Performance in 16.1 km Cycling Time Trials Jones H.S.1, Williams E.L., Marchant D.,
NATURE NEUROSCIENCE 2007 Coordinated memory replay in the visual cortex and hippocampus during sleep Daoyun Ji & Matthew A Wilson Department of Brain.
Increased/Maintained UO
Test Battery Time Points
Altered Circadian Rhythmicity in Patients in the ICU Joost A. C
Fit to Fly ? Ries Simons & Pierre Valk
Within a Mixed-Frequency Visual Environment
Effectiveness of products in eliminating mule deer dominant buck urine odors from carpet using Canis familiaris as test subjects.
Introduction to Statistics for the Social Sciences SBS200 - Lecture Section 001, Spring 2018 Room 150 Harvill Building 9:00 - 9:50 Mondays, Wednesdays.
Backward Masking and Unmasking Across Saccadic Eye Movements
Gesell’s Theory of Maturation
Meredith Bishop Stats 251 Sleep Deficit.
The Importance of Positive Peer Relationships in Predicting Decreases in Adolescents’ Depressive Symptoms over Time Joanna M. Chango, Erin M. Miga, & Joseph.
Elementary School Start Times
The Role of Arousal in Mood Mediation: A Closer Look at Mood Congruent Memory Eric Eich 1/17/2019.
Volume 25, Issue 21, Pages (November 2015)
Sensory Conflict Disrupts Activity of the Drosophila Circadian Network
1-Define the following picture 2- What is the purpose of it?
Differences in the temporal dynamics of daily activity between chronic pain patients and healthy controls P. Montoya1, P. Geha2, M. Baliki2, A. V. Apkarian2,
Trajectory Encoding in the Hippocampus and Entorhinal Cortex
Feature- and Order-Based Timing Representations in the Frontal Cortex
The effects of steroids during sepsis depend on dose and severity of illness: an updated meta-analysis  P.C. Minneci, K.J. Deans, P.Q. Eichacker, C. Natanson 
Paul E. Dux, Jason Ivanoff, Christopher L. Asplund, René Marois  Neuron 
Volume 25, Issue 21, Pages (November 2015)
Volume 95, Issue 1, Pages e3 (July 2017)
Fig. 1 Double-raster plot demonstrating the timing of sleep in the chronic sleep loss and control protocols Double-raster plot demonstrating the timing.
Action Selection and Action Value in Frontal-Striatal Circuits
Investigation Of Time And Speed Perception Using A Driving Simulator
Yi Zuo, Aerie Lin, Paul Chang, Wen-Biao Gan  Neuron 
Circadian Biology: Uncoupling Human Body Clocks by Food Timing
Kanyan Xu, Xiangzhong Zheng, Amita Sehgal  Cell Metabolism 
Practice with Sleep Makes Perfect
Manuel A Castro-Alamancos  Neuron 
Megan E. Speer, Jamil P. Bhanji, Mauricio R. Delgado  Neuron 
Predictive Neural Coding of Reward Preference Involves Dissociable Responses in Human Ventral Midbrain and Ventral Striatum  John P. O'Doherty, Tony W.
Dopamine-Dependent Interactions between Limbic and Prefrontal Cortical Plasticity in the Nucleus Accumbens: Disruption by Cocaine Sensitization  Yukiori.
Developmental change and stability of personality
Group results from repeated-measures ANOVA for the effects of geomagnetic stimulation on post-stimulus alpha-power. Group results from repeated-measures.
Conclusions and Implications
Volume 90, Issue 5, Pages (June 2016)
Presentation transcript:

The relative effects of work hours and circadian factors on pilot performance Arsintescu, L. A.1,3, Colletti, L. M.2,3, Caldwell, J. A.3, and Mallis, M. M.4 1San Jose State University Foundation, Moffett Field, CA; 2QSS Group, Inc., Moffett Field, CA; 3NASA Ames Research Center, Moffett Field, CA; 4Alertness Solutions, Cupertino, CA. INTRODUCTION FIGURES RESULTS Preliminary data have revealed that time of departure (morning versus evening) significantly affected pilot performance during ultra-long-range flights (> 18 hours; Mallis et al., 2005). It is unclear whether the circadian effect or the number of work hours contributed the most to performance decrements from the different departure times. Subsequent analyses were performed to address this issue. PVT Significant main effect of time-of-day on PVT transformed lapses (F(4, 60) = 23.63, p < .001) with a significant linear trend from 21:40 to 05:00 (F(1, 15) = 46.40, p < .001; figure 1). No main effect of departure or interaction. VAS Significant main effect of time-of-day on VAS alertness (F(2 33.7) = 18.21, p < .001) with a significant linear trend (F(1, 15) = 35.45, p < .001; figure 2). KSS Time by departure interaction (F(4, 60) = 2.71, p < .05) due to an increase in sleepiness for the AM group at 00:30 compared to the PM group (figure 3). Significant main effect of time-of-day (F(4, 60) = 43.96, p < .001) due to a significant linear trend (F(1, 15) = 114.24, p < .001). METHODS Figure 1. This figure displays the average number of lapses (reaction times >500 ms) on the PVT during the nighttime to early morning hours (21:00-05:00). Participants N = 17 pilots, male, aged 35 - 60 (M = 48 years, SD = 7.86). Current ATP pilots or retired within the previous 6 months. Flight hours: 3,500 – 34,000 hours (M = 16,665 hours, SD = 8,997.7). Methods Pilots flew a Boeing 747-400 simulator for 19.5 hrs, with either a morning or evening departure. For the first trial, both groups had been awake for approximately an equivalent number of hours (12.33-14.75 hrs); however, the morning group had been flying for 10.5 hrs while the evening group had just started the flight. To determine the degree to which work hours and circadian time affected performance, mixed-effects ANOVA were performed on five trials that occurred at the same clock times (21:40 – 05:00 for both groups). Measures Psychomotor Vigilance Test (PVT) - a hand-held test that delivers a three-mm visual stimulus, which requires the participant to make a pushbutton response within 1.5 seconds with interstimulus intervals ranging from 1 - 10 sec. Visual Analog Scale (VAS) - an adjective such as "anxious" or "sleepy" was placed over the center of a line (100 pixels long) with the words "not at all" appearing at the far left and “extremely” appearing at the far right. Karolinska Sleepiness Scale (KSS) - a nine-point Likert-type scale of subjective sleepiness ranging from “1 = very alert” to “9 = very sleepy, fighting sleep.” CONCLUSIONS These data suggest that with equivalent hours of continuous wakefulness, pilots experienced increased sleepiness and decreased performance, which occurred during the early morning hours corresponding to the circadian nadir. The absence of departure-time main effects suggests that the actual work hours (i.e., number of hours spent in flight) did not significantly attenuate or exacerbate this effect suggesting work hours alone did not significantly influence alertness. The interaction between the departure groups at 00:30 on subjective sleepiness may be due to the fact that the PM group just started the flight so they were more alert because of the high workload experienced during takeoff while the AM group had been flying for approximately 10.5 hrs. Thus, these results suggests that various factors such as circadian and workload may affect performance and alertness; however, work hours alone may not. Figure 2. This figure displays the subjective levels of alertness on VAS during nighttime to early morning hours. REFERENCES Figure 3. This figure displays the subjective ratings of sleepiness on KSS during nighttime to early morning hours. Mallis, M.M., Colletti, L.M., Brandt, S.L., Oyung, R.L., & DeRoshia, C.W. (2005). The effects of ultra-long-range flights on the alertness and performance of aviators. Aviation, Space and Environmental Medicine, 76, 260. Research supported by NASA’s Human Measures and Performance Project of the Airspace Systems Program.