• Title of article

    Investigating the TACOM measure as a general tool for quantifying the complexity of procedure guided tasks

  • Author/Authors

    Park، نويسنده , , Jinkyun، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2014
  • Pages
    10
  • From page
    66
  • To page
    75
  • Abstract
    According to operation experience, it is evident that the role of human operators is critical for securing the safety of complex socio-technical systems. For this reason, various kinds of HRA (Human Reliability Analysis) techniques have been used for several decades in order to systematically manage the likelihood of human error. One of the prerequisites to accomplish this goal is the provision of sufficient data that are helpful for HRA practitioners. In this regard, Podofillini, Park, and Dang (2013) investigated the feasibility of the TACOM (Task Complexity) measure as a tool to represent the effect of a task complexity on the performance of human operators in an objective manner. As a result, it was observed that TACOM scores systematically explain the variation of difficulty rankings and the likelihood of human error being empirically measured. Accordingly, it is possible to expect that the TACOM measure can support HRA practitioners because they can estimate the relative difficulties (or the likelihoods of human error) among tasks based on the associated TACOM scores to some extent. In order to confirm this expectation, however, it is indispensable to ensure the generality of the TACOM measure. From this necessity, task performance time data obtained from different task environments are compared. Consequently, it is believed that the TACOM measure can be regarded as a general tool for representing the complexity of procedure guided tasks because human operators who are faced with similar TACOM scores showed comparable task performance times even under different task environments.
  • Keywords
    task complexity , human performance , Task difficulty , Empirical human error probability , Human reliability analysis
  • Journal title
    Reliability Engineering and System Safety
  • Serial Year
    2014
  • Journal title
    Reliability Engineering and System Safety
  • Record number

    1573963