IDEAS home Printed from https://ideas.repec.org/a/igg/jcini0/v10y2016i3p38-52.html
   My bibliography  Save this article

The Motivation/Attitude-Driven Behavior (MADB) Model in E-Learning and the Effects on Mouse Dynamics

Author

Listed:
  • Yee Mei Lim

    (Tunku Abdul Rahman University College, Kuala Lumpur, Malaysia)

  • Aladdin Ayesh

    (De Montfort University, Leicester, UK)

  • Martin Stacey

    (De Montfort University, Leicester, UK)

Abstract

This paper presents the application of Motivation/Attitude-driven Behavior (MADB) model proposed by Wang (Wang, 2007a) in the e-learning context. The authors' work demonstrates how mathematical models and formal cognitive processes is developed based on menu search task. The effects of menu design on stress perceptions, motivation and attitudes during the search tasks are being examined. The correlations between emotion (stress perception), motivation, attitude, decision, behavior and mouse behavior are studied. The authors' findings are consistent with what was proposed by Wang. They also found that behavior is significantly correlated to mouse dynamics, such as mouse speed, mouse idle duration and mouse left click rate. Generally strong behavior strength results in slower mouse movements. The significant effect of behavior on mouse dynamics may be caused by motivation and decision, but not attitude and stress perception.

Suggested Citation

  • Yee Mei Lim & Aladdin Ayesh & Martin Stacey, 2016. "The Motivation/Attitude-Driven Behavior (MADB) Model in E-Learning and the Effects on Mouse Dynamics," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), IGI Global, vol. 10(3), pages 38-52, July.
  • Handle: RePEc:igg:jcini0:v:10:y:2016:i:3:p:38-52
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJCINI.2016070104
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jcini0:v:10:y:2016:i:3:p:38-52. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.