• DocumentCode
    140651
  • Title

    Staying aware in an evolving world — Specifying and tracking evolving situations

  • Author

    Salfinger, Andrea ; Retschitzegger, Werner ; Schwinger, Wieland

  • Author_Institution
    Dept. of Cooperative Inf. Syst., Johannes Kepler Univ. Linz, Linz, Austria
  • fYear
    2014
  • fDate
    3-6 March 2014
  • Firstpage
    195
  • Lastpage
    201
  • Abstract
    In control center applications, such as road and air traffic management, a human operator´s situation awareness (SAW) is of prime relevance. Operators need to assess critical situations emerging in that environment in order to undertake the appropriate (counter)actions, which becomes increasingly difficult w.r.t. today´s rapidly changing and information-rich envi-ronments. Whereas automated SAW systems assisting operators are maturing, their focus is mainly on analyzing snapshots of the current state of the environment. Support for specifying and tracking evolving situations, however, is only partly dealt with, although being highly needed, as recent studies revealed. To address this issue, we therefore propose a conceptual situation evolution model (SEM) for rule-based SAW systems. This allows on the one hand to specify potential situation evolutions at design time, thereby exploiting domain experts´ knowledge, and on the other hand serves as enabling mechanism to track actually assessed evolutions at runtime by model-based reasoning.
  • Keywords
    evolutionary computation; inference mechanisms; knowledge based systems; traffic engineering computing; SEM; air traffic management; automated SAW system; conceptual situation evolution model; control center application; domain expert knowledge; human operator situation awareness; model-based reasoning; road traffic management; rule-based SAW system; Accidents; Conferences; Inference mechanisms; Roads; Runtime; Surface acoustic waves; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), 2014 IEEE International Inter-Disciplinary Conference on
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    978-1-4799-3563-5
  • Type

    conf

  • DOI
    10.1109/CogSIMA.2014.6816562
  • Filename
    6816562