• DocumentCode
    1754140
  • Title

    Can Subliminal Signal Affect Human´s Judgment and Decision-making? A Helpful Study for Designing Computerized Decision Support Systems

  • Author

    Juan, Liu ; Yan, Ge ; Xiang-hong, Sun ; Xin, Wang ; Li, Ning ; Kan, Zhang

  • Author_Institution
    Key Lab. of Brain & Cognitive Sci., Chinese Acad. of Sci., Beijing, China
  • Volume
    1
  • fYear
    2011
  • fDate
    28-29 March 2011
  • Firstpage
    1026
  • Lastpage
    1029
  • Abstract
    Decision theory and research are genuinely interdisciplinary. For engineers, the interest in designing computerized decision support systems has considerably increased in recent years. The current decision support systems mainly focus on data acquisition and analysis. They are responsible for providing large amounts of data continuously and delivering adaptable models, which can enable people to use these results effectively and then make decisions more quickly and accurately. Then, is there any real-time decision support system in the future that can change human´s judgment and decision-making? This paper will provide some answers by presenting the results of a study that subliminal vision signal may have direct influence on human´s advanced cognitive process and finally change human´s decision under ambiguity.
  • Keywords
    computer vision; data acquisition; data analysis; decision making; decision support systems; decision theory; advanced cognitive process; computerized decision support system; data acquisition; data analysis; decision making; decision theory; human judgment; subliminal signal; Color; Decision making; Decision support systems; Psychology; Time factors; Uncertainty; Visualization; Ambiguity; Decision making; Decision support system; Ellsberg paradox; Judgment; Subliminal vision signal; Uncertainty; Unperceived;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
  • Conference_Location
    Shenzhen, Guangdong
  • Print_ISBN
    978-1-61284-289-9
  • Type

    conf

  • DOI
    10.1109/ICICTA.2011.257
  • Filename
    5750774