• DocumentCode
    2535319
  • Title

    Improve driver performance by experience of driver cognitive behavior model´s practice

  • Author

    Liu, Y.F. ; Wang, Y.M. ; Li, W.S. ; Xu, W.Q. ; Gui, J.S.

  • Author_Institution
    Coll. of Inf. & Electron., Zhejiang Sci-Tech Univ., Hangzhou, China
  • fYear
    2009
  • fDate
    3-5 June 2009
  • Firstpage
    475
  • Lastpage
    480
  • Abstract
    This paper describes a practicing method for enhancing driver performance, which it bases on cognitive driver behavior model of ACT-R--a dominant theory of human cognitive architecture. First, the paper elaborates the idea of driver behavior modeling in cognitive architecture. And then, it dedicates the implementation of driver´s practice courses based on the cognitive architecture model. Finally, by comparing the experiments back and forth of the practice, the results indicate that the practice based on driver cognitive behavior model can improve the driver performances positively. The experiences of the practice also implied that both practice method is indeed an approach worthy of pursuit for enhancing driver performance at driving emergencies and driver behavior modeling in cognitive architecture is a substantial tool for practical applications in predicting and instructing driver behaviors.
  • Keywords
    cognition; driver information systems; ACT-R; driver behavior modeling; driver cognitive behavior model; driver performance; driver practice courses; human cognitive architecture; Computer crashes; Driver circuits; Humans; Informatics; Power system modeling; Predictive models; Public healthcare; Roads; Solids; Traffic control; Driver behavior modeling; cognitive architecture; driver performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium, 2009 IEEE
  • Conference_Location
    Xi´an
  • ISSN
    1931-0587
  • Print_ISBN
    978-1-4244-3503-6
  • Electronic_ISBN
    1931-0587
  • Type

    conf

  • DOI
    10.1109/IVS.2009.5164324
  • Filename
    5164324