• DocumentCode
    549033
  • Title

    Identification of human-interaction touch points for intelligence analysis information fusion systems

  • Author

    Jenkins, Michael P. ; Bisantz, Ann M.

  • Author_Institution
    Ind. & Syst. Eng. Dept., SUNY - Univ. at Buffalo, Buffalo, NY, USA
  • fYear
    2011
  • fDate
    5-8 July 2011
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper presents recommended human-interaction touch points for a data fusion system designed to support intelligence analysis. Touch points were identified to allow analysts to best leverage the fusion system by mapping potential system capabilities to situations where factors that contribute to analysis task complexity are likely to be present. While further effort is required to refine capabilities mappings and to define specifics of the touch points, focusing on these interactions is expected to facilitate the appropriate calibration of analyst perceptions towards the system´s true capabilities leading to appropriate reliance and in turn successful integration into analyst workflows.
  • Keywords
    calibration; sensor fusion; tactile sensors; analyst perceptions; calibration; data fusion; human-interaction touch points; information fusion; intelligence analysis; mapping potential system; Analytical models; Artificial intelligence; Availability; Cognition; Complexity theory; Face; Data Fusion; HCI; Human-Computer Interaction; Intelligence Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion (FUSION), 2011 Proceedings of the 14th International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4577-0267-9
  • Type

    conf

  • Filename
    5977468