Literature DB >> 15018284

Research requirements for operational decision-making using models of fatigue and performance.

Karl E Friedl1, Melissa M Mallis, Stephen T Ahlers, Stephen M Popkin, Willard Larkin.   

Abstract

Sustained human performance is critical to job and mission success in many federal agencies including national defense, aerospace exploration, and transportation. For the responsible agencies, applications of the basic biomedical and applied human factors science provide the best available solutions to help individuals perform more effectively and with increased safety. Key products of this research are biomathematical models that predict periods of impaired performance, with applications in planning tools, real time monitoring, and intervention decision aids. Since it is difficult to quantify the number of judgment errors or accidents averted, metrics of success for fatigue management systems must be largely based on the accuracy of performance predictions derived from laboratory-based research studies and the extent to which such results can be generalized to the field environment. Performance metrics must, at a minimum, be correlated with occupational task performance to demonstrate relevance to real-world applications. This paper outlines broad goals for human effectiveness research related to fatigue, alertness, and performance. To advance from the present state of knowledge to useful predictive models requires a well-coordinated commitment from federal agencies. Users should be made aware that current models and tests are not likely to encompass all of the aspects of human performance that are relevant to field environments and occupations.

Entities:  

Keywords:  NASA Center ARC; NASA Discipline Space Human Factors

Mesh:

Year:  2004        PMID: 15018284

Source DB:  PubMed          Journal:  Aviat Space Environ Med        ISSN: 0095-6562


  5 in total

1.  A Unified Model of Performance: Validation of its Predictions across Different Sleep/Wake Schedules.

Authors:  Sridhar Ramakrishnan; Nancy J Wesensten; Thomas J Balkin; Jaques Reifman
Journal:  Sleep       Date:  2016-01-01       Impact factor: 5.849

2.  2B-Alert Web: An Open-Access Tool for Predicting the Effects of Sleep/Wake Schedules and Caffeine Consumption on Neurobehavioral Performance.

Authors:  Jaques Reifman; Kamal Kumar; Nancy J Wesensten; Nikolaos A Tountas; Thomas J Balkin; Sridhar Ramakrishnan
Journal:  Sleep       Date:  2016-12-01       Impact factor: 5.849

3.  Effects of sleep deprivation on dissociated components of executive functioning.

Authors:  Adrienne M Tucker; Paul Whitney; Gregory Belenky; John M Hinson; Hans P A Van Dongen
Journal:  Sleep       Date:  2010-01       Impact factor: 5.849

4.  An improved methodology for individualized performance prediction of sleep-deprived individuals with the two-process model.

Authors:  Srinivasan Rajaraman; Andrei V Gribok; Nancy J Wesensten; Thomas J Balkin; Jaques Reifman
Journal:  Sleep       Date:  2009-10       Impact factor: 5.849

5.  Optimization of biomathematical model predictions for cognitive performance impairment in individuals: accounting for unknown traits and uncertain states in homeostatic and circadian processes.

Authors:  Hans P A Van Dongen; Christopher G Mott; Jen-Kuang Huang; Daniel J Mollicone; Frederic D McKenzie; David F Dinges
Journal:  Sleep       Date:  2007-09       Impact factor: 5.849

  5 in total

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