• DocumentCode
    709149
  • Title

    A framework for simulation-based task analysis - The development of a universal task analysis simulation model

  • Author

    Angelopoulou, Anastasia ; Mykoniatis, Konstantinos ; Karwowski, Waldemar

  • Author_Institution
    Modeling & Simulation Grad. Program, Univ. of Central Florida, Orlando, FL, USA
  • fYear
    2015
  • fDate
    9-12 March 2015
  • Firstpage
    77
  • Lastpage
    81
  • Abstract
    Over the last decades there has been a growing interest in modeling human performance and analyzing human activity and human operator behavior to improve system design. A variety of tools and approaches which are based on task analysis methods and tools have been proposed. As technology advances and tasks become more demanding, human work changes increasing the need to create new methodologies and tools for task analysis to face the new challenges. The main aim of this research is to develop a new framework and model for simulation of human tasks performed by individuals with varying levels of skills, considering operator workload and human errors. In order to achieve this goal and fill the current gaps, a review of existing task analysis methods and tools is conducted and a model named UTASiMo is proposed. In addition, the Unified Modeling Language is used to describe the conceptual model and illustrate the different constructs and concepts included in the model. Finally, we present a case study and a preliminary simulation model designed in AnyLogicTM.
  • Keywords
    Unified Modeling Language; digital simulation; ergonomics; task analysis; AnyLogic; UTASiMo; Unified Modeling Language; conceptual model; simulation-based task analysis; universal task simulation model; Analytical models; Conferences; Data models; Decision making; Human factors; Training; Unified modeling language; Agent-based; Discrete Event; Modeling; Simulation; System Dynamics; Task Analysis; UML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), 2015 IEEE International Inter-Disciplinary Conference on
  • Conference_Location
    Orlando, FL
  • Type

    conf

  • DOI
    10.1109/COGSIMA.2015.7108178
  • Filename
    7108178