Literature DB >> 11538318

How effective is cockpit resource management training? Exploring issues in evaluating the impact of programs to enhance crew coordination.

R L Helmreich1, T R Chidester, H C Foushee, S Gregorich, J A Wilhelm.   

Abstract

The question "Is cockpit resource management effective?" has been asked frequently in the years since 1979 when a National Aeronautics and Space Administration (NASA)/Industry workshop addressed the concepts of crew coordination and effective utilization of all available resources in flight operations (Cooper, White, & Lauber, 1980). If one looks at the proliferation of cockpit resource management (CRM) training programs in domestic and foreign, civil and military aviation, and the enormous investment in time and money that they entail, it would appear that the question has been answered in the affirmative. It is our position, however, that the question remains open and that empirical evidence is just beginning to accumulate.

Keywords:  NASA Discipline Number 06-10; NASA Discipline Space Human Factors; NASA Program Space Human Factors; Non-NASA Center

Mesh:

Year:  1990        PMID: 11538318

Source DB:  PubMed          Journal:  Flight Saf Dig        ISSN: 1057-5588


  4 in total

1.  A cross-cultural survey of residents' perceived barriers in questioning/challenging authority.

Authors:  H Kobayashi; M Pian-Smith; M Sato; R Sawa; T Takeshita; D Raemer
Journal:  Qual Saf Health Care       Date:  2006-08

2.  [Do residents and nurses communicate safety relevant concerns? : simulation study on the influence of the authority gradient].

Authors:  M St Pierre; A Scholler; D Strembski; G Breuer
Journal:  Anaesthesist       Date:  2012-09-27       Impact factor: 1.041

3.  [Simulator-based modular human factor training in anesthesiology. Concept and results of the module "Communication and Team Cooperation"].

Authors:  M St Pierre; G Hofinger; C Buerschaper; M Grapengeter; H Harms; G Breuer; J Schüttler
Journal:  Anaesthesist       Date:  2004-02       Impact factor: 1.041

Review 4.  Driver Distraction Using Visual-Based Sensors and Algorithms.

Authors:  Alberto Fernández; Rubén Usamentiaga; Juan Luis Carús; Rubén Casado
Journal:  Sensors (Basel)       Date:  2016-10-28       Impact factor: 3.576

  4 in total

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