• DocumentCode
    497734
  • Title

    Incorporating the human analyst into the data fusion process by modeling situation awareness using fuzzy cognitive maps

  • Author

    Jones, Rashaad E T ; Connors, Erik S. ; Endsley, Mica R.

  • Author_Institution
    SA Technol., Inc., Marietta, GA, USA
  • fYear
    2009
  • fDate
    6-9 July 2009
  • Firstpage
    1265
  • Lastpage
    1271
  • Abstract
    Current data fusion models lack the capability of fully supporting the cognitive processes of the human analyst. The data fusion community has expressed a need to better incorporate users within their models. The purpose of this paper is to describe how to use fuzzy logic to develop a data fusion model that supports situation awareness (SA). Developing this model based on the formal representation of the analyst provided by the goal-directed task analysis (GDTA) methodology advances current data fusion models because it provides valuable insight on how to effectively support human cognition within the data fusion process.
  • Keywords
    fuzzy logic; inference mechanisms; sensor fusion; data fusion process; fuzzy cognitive maps; fuzzy logic; goal-directed task analysis; human analyst; human cognition; situation awareness; Automation; Cognition; Data analysis; Data engineering; Face; Fuzzy cognitive maps; Fuzzy logic; Humans; Information analysis; Surface acoustic waves; Situation awareness; fuzzy cognitive maps; high level fusion; human cognitive processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion, 2009. FUSION '09. 12th International Conference on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-0-9824-4380-4
  • Type

    conf

  • Filename
    5203828