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Honn KA, Morris MB, Jackson ML, Van Dongen HPA, Gunzelmann G. Effects of Sleep Deprivation on Performance during a Change Signal Task with Adaptive Dynamics. Brain Sci 2023; 13:1062. [PMID: 37508994 PMCID: PMC10377671 DOI: 10.3390/brainsci13071062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 07/07/2023] [Accepted: 07/08/2023] [Indexed: 07/30/2023] Open
Abstract
Augmented cognition, which refers to real-time modifications to a human-system interface to improve performance and includes dynamic task environments with automated adaptations, can serve to protect against performance impairment under challenging work conditions. However, the effectiveness of augmented cognition as a countermeasure for performance impairment due to sleep loss is unknown. Here, in a controlled laboratory study, an adaptive version of a Change Signal task was administered repeatedly to healthy adults randomized to 62 h of total sleep deprivation (TSD) or a rested control condition. In the computerized task, a left- or right-facing arrow was presented to start each trial. In a subset of trials, a second arrow facing the opposite direction was presented after a delay. Subjects were to respond within 1000 ms of the trial start by pressing the arrow key corresponding to the single arrow (Go trials) or to the second arrow when present (Change trials). The Change Signal Delay (CSD)-i.e., the delay between the appearance of the first and second arrows-was shortened following incorrect responses and lengthened following correct responses so that subsequent Change trials became easier or harder, respectively. The task featured two distinct CSD dynamics, which produced relatively stable low and high error rates when subjects were rested (Low and High Error Likelihood trials, respectively). During TSD, the High Error Likelihood trials produced the same, relatively high error rate, but the Low Error Likelihood trials produced a higher error rate than in the rested condition. Thus, sleep loss altered the effectiveness of the adaptive dynamics in the Change Signal task. A principal component analysis revealed that while subjects varied in their performance of the task along a single dominant dimension when rested, a second inter-individual differences dimension emerged during TSD. These findings suggest a need for further investigation of the interaction between augmented cognition approaches and sleep deprivation in order to determine whether and how augmented cognition can be relied upon as a countermeasure to performance impairment in operational settings with sleep loss.
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Affiliation(s)
- Kimberly A Honn
- Sleep and Performance Research Center & Department of Translational Medicine and Physiology, Washington State University, Spokane, WA 99202, USA
| | - Megan B Morris
- Air Force Research Laboratory, Wright Patterson Air Force Base, OH 45433, USA
| | - Melinda L Jackson
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, VIC 3800, Australia
| | - Hans P A Van Dongen
- Sleep and Performance Research Center & Department of Translational Medicine and Physiology, Washington State University, Spokane, WA 99202, USA
| | - Glenn Gunzelmann
- Air Force Research Laboratory, Wright Patterson Air Force Base, OH 45433, USA
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2
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Wilson MD, Strickland L, Ballard T, Griffin MA. The next generation of fatigue prediction models: evaluating current trends in biomathematical modelling. THEORETICAL ISSUES IN ERGONOMICS SCIENCE 2022. [DOI: 10.1080/1463922x.2022.2144962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
| | - Luke Strickland
- Future of Work Institute, Curtin University, Perth, Australia
| | - Timothy Ballard
- School of Psychology, University of Queensland, St Lucia, Australia
| | - Mark A. Griffin
- Future of Work Institute, Curtin University, Perth, Australia
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Gurubhagavatula I, Barger LK, Barnes CM, Basner M, Boivin DB, Dawson D, Drake CL, Flynn-Evans EE, Mysliwiec V, Patterson PD, Reid KJ, Samuels C, Shattuck NL, Kazmi U, Carandang G, Heald JL, Van Dongen HP. Guiding principles for determining work shift duration and addressing the effects of work shift duration on performance, safety, and health: guidance from the American Academy of Sleep Medicine and the Sleep Research Society. J Clin Sleep Med 2021; 17:2283-2306. [PMID: 34666885 PMCID: PMC8636361 DOI: 10.5664/jcsm.9512] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 06/24/2021] [Indexed: 11/13/2022]
Abstract
CITATION Risks associated with fatigue that accumulates during work shifts have historically been managed through working time arrangements that specify fixed maximum durations of work shifts and minimum durations of time off. By themselves, such arrangements are not sufficient to curb risks to performance, safety, and health caused by misalignment between work schedules and the biological regulation of waking alertness and sleep. Science-based approaches for determining shift duration and mitigating associated risks, while addressing operational needs, require: (1) a recognition of the factors contributing to fatigue and fatigue-related risks; (2) an understanding of evidence-based countermeasures that may reduce fatigue and/or fatigue-related risks; and (3) an informed approach to selecting workplace-specific strategies for managing work hours. We propose a series of guiding principles to assist stakeholders with designing a shift duration decision-making process that effectively balances the need to meet operational demands with the need to manage fatigue-related risks.
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Affiliation(s)
- Indira Gurubhagavatula
- Division of Sleep Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Corporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Laura K. Barger
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Christopher M. Barnes
- Department of Management and Organization, Foster School of Business, University of Washington, Seattle, WA, USA
| | - Mathias Basner
- Unit for Experimental Psychiatry, Division of Sleep and Chronobiology, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Diane B. Boivin
- Centre for Study and Treatment of Circadian Rhythms, Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Drew Dawson
- Appleton Institute, Central Queensland University, Wayville, SA, Australia
| | | | - Erin E. Flynn-Evans
- Fatigue Countermeasures Laboratory, NASA Ames Research Center, Moffett Field, CA, USA
| | - Vincent Mysliwiec
- STRONG STAR ORU, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center, San Antonio, TX, USA
| | - P. Daniel Patterson
- Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kathryn J. Reid
- Center for Circadian and Sleep Medicine, Department of Neurology, Division of Sleep Medicine, Northwestern University, Chicago, IL, USA
| | - Charles Samuels
- Centre for Sleep and Human Performance, Calgary, Alberta, Canada
| | - Nita Lewis Shattuck
- Operations Research Department, Naval Postgraduate School, Monterey, CA, USA
| | - Uzma Kazmi
- American Academy of Sleep Medicine, Darien, IL, USA
| | | | | | - Hans P.A. Van Dongen
- Sleep and Performance Research Center, Washington State University, Spokane, WA, USA
- Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, USA
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Holdnack JA, Brennan PF. Usability and Effectiveness of Immersive Virtual Grocery Shopping for Assessing Cognitive Fatigue in Healthy Controls: Protocol for a Randomized Controlled Trial. JMIR Res Protoc 2021; 10:e28073. [PMID: 34346898 PMCID: PMC8374668 DOI: 10.2196/28073] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 06/11/2021] [Accepted: 06/11/2021] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Cognitive fatigue (CF) is a human response to stimulation and stress and is a common comorbidity in many medical conditions that can result in serious consequences; however, studying CF under controlled conditions is difficult. Immersive virtual reality provides an experimental environment that enables the precise measurement of the response of an individual to complex stimuli in a controlled environment. OBJECTIVE We aim to examine the development of an immersive virtual shopping experience to measure subjective and objective indicators of CF induced by instrumental activities of daily living. METHODS We will recruit 84 healthy participants (aged 18-75 years) for a 2-phase study. Phase 1 is a user experience study for testing the software functionality, user interface, and realism of the virtual shopping environment. Phase 2 uses a 3-arm randomized controlled trial to determine the effect that the immersive environment has on fatigue. Participants will be randomized into 1 of 3 conditions exploring fatigue response during a typical human activity (grocery shopping). The level of cognitive and emotional challenges will change during each activity. The primary outcome of phase 1 is the experience of user interface difficulties. The primary outcome of phase 2 is self-reported CF. The core secondary phase 2 outcomes include subjective cognitive load, change in task performance behavior, and eye tracking. Phase 2 uses within-subject repeated measures analysis of variance to compare pre- and postfatigue measures under 3 conditions (control, cognitive challenge, and emotional challenge). RESULTS This study was approved by the scientific review committee of the National Institute of Nursing Research and was identified as an exempt study by the institutional review board of the National Institutes of Health. Data collection will begin in spring 2021. CONCLUSIONS Immersive virtual reality may be a useful research platform for simulating the induction of CF associated with the cognitive and emotional challenges of instrumental activities of daily living. TRIAL REGISTRATION ClinicalTrials.gov NCT04883359; http://clinicaltrials.gov/ct2/show/NCT04883359. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) PRR1-10.2196/28073.
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Affiliation(s)
- James A Holdnack
- National Institute of Nursing Research, National Institutes of Health, Bethesda, MD, United States
| | - Patricia Flatley Brennan
- National Institute of Nursing Research, National Institutes of Health, Bethesda, MD, United States
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Gurubhagavatula I, Barger LK, Barnes CM, Basner M, Boivin DB, Dawson D, Drake CL, Flynn-Evans EE, Mysliwiec V, Patterson PD, Reid KJ, Samuels C, Shattuck NL, Kazmi U, Carandang G, Heald JL, Van Dongen HPA. Guiding principles for determining work shift duration and addressing the effects of work shift duration on performance, safety, and health: guidance from the American Academy of Sleep Medicine and the Sleep Research Society. Sleep 2021; 44:6312566. [PMID: 34373924 DOI: 10.1093/sleep/zsab161] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 05/17/2021] [Indexed: 11/12/2022] Open
Abstract
Risks associated with fatigue that accumulates during work shifts have historically been managed through working time arrangements that specify fixed maximum durations of work shifts and minimum durations of time off. By themselves, such arrangements are not sufficient to curb risks to performance, safety, and health caused by misalignment between work schedules and the biological regulation of waking alertness and sleep. Science-based approaches for determining shift duration and mitigating associated risks, while addressing operational needs, require: (1) a recognition of the factors contributing to fatigue and fatigue-related risks; (2) an understanding of evidence-based countermeasures that may reduce fatigue and/or fatigue-related risks; and (3) an informed approach to selecting workplace-specific strategies for managing work hours. We propose a series of guiding principles to assist stakeholders with designing a shift duration decision-making process that effectively balances the need to meet operational demands with the need to manage fatigue-related risks.
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Affiliation(s)
- Indira Gurubhagavatula
- Division of Sleep Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Corporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Laura K Barger
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Christopher M Barnes
- Department of Management and Organization, Foster School of Business, University of Washington, Seattle, WA, USA
| | - Mathias Basner
- Unit for Experimental Psychiatry, Division of Sleep and Chronobiology, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Diane B Boivin
- Centre for Study and Treatment of Circadian Rhythms, Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Drew Dawson
- Appleton Institute, Central Queensland University, Wayville, SA, Australia
| | | | - Erin E Flynn-Evans
- Fatigue Countermeasures Laboratory, NASA Ames Research Center, Moffett Field, CA, USA
| | - Vincent Mysliwiec
- STRONG STAR ORU, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center, San Antonio, TX, USA
| | - P Daniel Patterson
- Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kathryn J Reid
- Center for Circadian and Sleep Medicine, Department of Neurology, Division of Sleep Medicine, Northwestern University, Chicago, IL, USA
| | - Charles Samuels
- Centre for Sleep and Human Performance, Calgary, Alberta, Canada
| | - Nita Lewis Shattuck
- Operations Research Department, Naval Postgraduate School, Monterey, CA, USA
| | - Uzma Kazmi
- American Academy of Sleep Medicine, Darien, IL, USA
| | | | | | - Hans P A Van Dongen
- Sleep and Performance Research Center, Washington State University, Spokane, WA, USA.,Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, USA
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Van Dongen HP, Whitney P, Hinson JM, Honn KA, Chee MW. Preface. PROGRESS IN BRAIN RESEARCH 2019; 246:xi-xiv. [DOI: 10.1016/s0079-6123(19)30126-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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