• DocumentCode
    175331
  • Title

    Overcoming Limited Collaboration Channels in Distributed Intelligence Analysis: Visualization Tools and Design Seeds

  • Author

    Prue, Brian ; Jenkins, Michael ; Stern, Lauren D. ; Pfautz, Jonathan

  • Author_Institution
    Charles River Analytics, Cambridge, MA, USA
  • fYear
    2014
  • fDate
    24-26 Sept. 2014
  • Firstpage
    17
  • Lastpage
    24
  • Abstract
    Military intelligence analysis (IA) support tools are often developed using generalized models of IA that fail to take into consideration the real-world constraints put on analysts by factors such as organizational structures and cultures. IA in domains where distributed collaboration is required because direct communication and coordination is infeasible represents a challenge for generalized models of IA. This paper provides our analysis of distributed IA, which we conducted to support the design of software. We present a resulting set of capabilities that have been developed and deployed in an operational community. Our analysis approach and design focuses on extracting requirements and translating them into "design seeds" or guidelines for implementation, which are later used to verify that the resulting system meets the expressed requirements.
  • Keywords
    data analysis; data visualisation; military computing; design seeds; direct communication and coordination; distributed collaboration; distributed intelligence analysis; limited collaboration channels; military intelligence analysis support tools; operational community; organizational cultures; organizational structures; real-world constraints; visualization tools; Analytical models; Cognition; Collaboration; Communities; Context; Training; Visualization; Collaboration; Distributed Analysis; Intelligence Analysis; Network Visualization; Visual Analytics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligence and Security Informatics Conference (JISIC), 2014 IEEE Joint
  • Conference_Location
    The Hague
  • Print_ISBN
    978-1-4799-6363-8
  • Type

    conf

  • DOI
    10.1109/JISIC.2014.13
  • Filename
    6975549