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
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;
Conference_Titel :
Information Fusion, 2009. FUSION '09. 12th International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
978-0-9824-4380-4