• DocumentCode
    265935
  • Title

    Detecting cognitive stress from keyboard and mouse dynamics during mental arithmetic

  • Author

    Yee Mei Lim ; Ayesh, Aladdin ; Stacey, Martin

  • Author_Institution
    Fac. of Appl. Sci. & Comput., Tunku Abdul Rahman Univ. Coll., Kuala Lumpur, Malaysia
  • fYear
    2014
  • fDate
    27-29 Aug. 2014
  • Firstpage
    146
  • Lastpage
    152
  • Abstract
    Much research has been done to detect human emotion using various computational methods, such as physiological measures and facial expression recognition. These methods are effective but they could be expensive or intrusive as special setups of equipments are needed. Some researchers have utilized non-intrusive methods by using mouse or keyboard analyses and presented comparable effectiveness in detecting human emotion. This paper investigates how both keyboard and mouse features can be combined to detect human stress, particularly cognitive stress induced by time pressure and mental arithmetic problems. The results show that the complexity of the mental arithmetic problem and time pressure affect user behaviour, mouse behaviour and keyboard behaviour significantly. This indicates that automatic analysis of human stress from keyboard and mouse input is potentially useful for providing adaptation in interactive system such as an e-learning system.
  • Keywords
    cognition; emotion recognition; human computer interaction; human factors; keyboards; mouse controllers (computers); cognitive stress detection; e-learning system; facial expression recognition; human emotion detection; human stress detection; interactive system; keyboard behaviour; mental arithmetic problems; mouse behaviour; mouse dynamics; nonintrusive methods; physiological measures; time pressure; user behaviour; Complexity theory; Correlation; Educational institutions; Keyboards; Mice; Stress; Timing; cognitive stress; keyboard dynamics; mental arithmetic; mouse dynamics; stress detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Science and Information Conference (SAI), 2014
  • Conference_Location
    London
  • Print_ISBN
    978-0-9893-1933-1
  • Type

    conf

  • DOI
    10.1109/SAI.2014.6918183
  • Filename
    6918183