• DocumentCode
    2414208
  • Title

    Divided attention in computer game play: Analysis utilizing unobtrusive health monitoring

  • Author

    McKanna, James A. ; Jimison, Holly ; Pavel, Misha

  • Author_Institution
    Med. Inf., Oregon Health & Sci. Univ., Portland, OR, USA
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    6247
  • Lastpage
    6250
  • Abstract
    Divided attention is a vital cognitive ability used in important daily activities (e.g., driving), which tends to deteriorate with age. As with Alzheimer´s and other neural degenerative conditions, treatment for divided attention problems is likely to be more effective the earlier it is detected. Thus, it is important that a method be found to detect changes in divided attention early on in the process, for both safety and health care reasons. We present here a new method for detecting divided attention unobtrusively, using performance on a computer game designed to force players to attend to different dimensions simultaneously in order to succeed. Should this model prove to predict scores on a standard test for divided attention, it could help to detect cognitive decline earlier in our increasingly computer-involved aging population, providing treatment efficacy benefits to those who will experience cognitive decline.
  • Keywords
    cognition; computer games; diseases; games of skill; medical computing; neurophysiology; patient diagnosis; cognition; computer game play; neural degenerative diseases; unobtrusive divided attention detection; unobtrusive health monitoring; Aged; Attention; Cognition; Female; Games, Experimental; Geriatric Assessment; Humans; Male; Monitoring, Ambulatory; Video Games;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-3296-7
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2009.5334662
  • Filename
    5334662