Analysis of complex team-based systems: augmentations to goal-directed task analysis and cognitive work analysis.

This research modified two analysis techniques, goal-directed task analysis (GDTA) and modified cognitive work analysis (mCWA), in order to apply them to the analysis of a complex team-based system. Traditionally, GDTA and mCWA have been applied to narrowly focused physical-based domains; however, t...

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Publicado en:Theoretical Issues in Ergonomics Science Vol. 12; no. 2; pp. 149 - 176
Autores principales: Humphrey, Curtis M., Adams, Julie A.
Formato: research tables/charts Journal Article
Publicado: Taylor & Francis Ltd Mar2011
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Mar2011
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      pub: Taylor & Francis Ltd
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        atl: Analysis of complex team-based systems: augmentations to goal-directed task analysis and cognitive work analysis.
      aug:
        au:
          Humphrey, Curtis M.
          Adams, Julie A.
        affil: Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA
      sug:
        subj:
          Task Performance and Analysis
          Disaster Planning Equipment and Supplies
          Robotics
          Goals and Objectives
          Human
          Diffusion of Innovation
          Interviews
          Cognition
          Decision Making
          Funding Source
      ab: This research modified two analysis techniques, goal-directed task analysis (GDTA) and modified cognitive work analysis (mCWA), in order to apply them to the analysis of a complex team-based system. Traditionally, GDTA and mCWA have been applied to narrowly focused physical-based domains; however, the chemical, biological, radiological, nuclear and explosive (CBRNE) incident response domain is a very complex domain in which individual humans and teams of humans with specialised skills and responsibilities are considered to be system components. The resulting system combines very large number of components, decision-makers and uncertain environmental issues. Each analysis technique provided strengths that complemented the other's weaknesses; however, the analysis techniques required augmentations in order to facilitate information capture and correspondence to design requirements. The contributions of this article include a presentation of the augmentations and a discussion of the benefits provided by employing both analysis techniques.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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