Literature DB >> 15018270

Modeling performance and alertness: the QinetiQ approach.

Andrew J Belyavin1, Michael B Spencer.   

Abstract

The basis of the QinetiQ alertness model used at the heart of the System for Aircrew Fatigue Evaluation (SAFE) free-standing software tool is described. A number of extensions to the basic model that are applicable to the civil aviation environment are outlined, based on the analysis of eight studies involving sleep diaries gathered from pilots undertaking a range of duty schedules. The relationship between subjective alertness and performance of laboratory tasks is described and it is concluded that different tasks are affected differentially by fatigue. In general, there is a larger impact on the incidence of errors than on response time. The implementation of the full model in the Integrated Performance Modeling Environment is described and the application of both the alertness and performance models to two scenarios provided by the workshop organizers is outlined. It is concluded that further work is needed in three areas: cumulative fatigue, the impact of sleep architecture, and the prediction of performance for complex tasks in systems.

Entities:  

Mesh:

Year:  2004        PMID: 15018270

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


  4 in total

Review 1.  Mathematical modeling of circadian rhythms.

Authors:  Ameneh Asgari-Targhi; Elizabeth B Klerman
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2018-10-17

Review 2.  A comprehensive review of approaches to detect fatigue using machine learning techniques.

Authors:  Rohit Hooda; Vedant Joshi; Manan Shah
Journal:  Chronic Dis Transl Med       Date:  2022-02-24

3.  Validating and extending the three process model of alertness in airline operations.

Authors:  Michael Ingre; Wessel Van Leeuwen; Tomas Klemets; Christer Ullvetter; Stephen Hough; Göran Kecklund; David Karlsson; Torbjörn Åkerstedt
Journal:  PLoS One       Date:  2014-10-20       Impact factor: 3.240

4.  Modeling the adenosine system as a modulator of cognitive performance and sleep patterns during sleep restriction and recovery.

Authors:  Andrew J K Phillips; Elizabeth B Klerman; James P Butler
Journal:  PLoS Comput Biol       Date:  2017-10-26       Impact factor: 4.475

  4 in total

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