• DocumentCode
    2540923
  • Title

    Criminal investigation based on psychological characteristic: A design of psychological information system

  • Author

    Yang, Wei ; He, Ping

  • Author_Institution
    Dept. of Prison Adm., Liaoning Police Acad., Dalian, China
  • fYear
    2010
  • fDate
    16-18 April 2010
  • Firstpage
    30
  • Lastpage
    33
  • Abstract
    The paper introduces a human-computer interaction reasoning system to the criminal investigation, and poses a skeleton of intuition automatic reasoning based on criminal psychology. Through the relationship construction of practical psychological characteristic pattern and on-the-spot model, it sets up a couple of psychological characteristic mapping and criminal behavior inversion models. The study shows that the premise of human-computer interaction is to set up models of intuition learning. The author views that the reliability of the automatic reasoning of the case depends on the interactive results of reference system and psychological characteristic analysis. Simultaneously, choosing the case-cracking clue should be determined by comprehensive evaluations, and self-learning intuitional or logical judgments are essentially needed.
  • Keywords
    criminal law; human computer interaction; inference mechanisms; information systems; psychology; case cracking clue; criminal investigation; criminal psychology; human computer interaction reasoning system; intuition automatic reasoning; psychological characteristic; psychological information system; Artificial intelligence; Computational Intelligence Society; Computer crime; Decision support systems; Helium; Information analysis; Information systems; Learning; Psychology; Skeleton; case analysis; criminal knowledge; experience mapping; human-computer intercation; intuitive reasoning; psychological characteristic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5263-7
  • Electronic_ISBN
    978-1-4244-5265-1
  • Type

    conf

  • DOI
    10.1109/ICIME.2010.5477472
  • Filename
    5477472