IDEAS home Printed from https://ideas.repec.org/a/igg/jmhci0/v14y2022i1p1-18.html
   My bibliography  Save this article

A Correlation Study of Demographic Characteristics and Smartphone Task Performance: A Comparison Between Younger and Elderly Users

Author

Listed:
  • Lumpapun Punchoojit

    (Department of Computer Science, Faculty of Science and Technology, Thammasat University, Thailand)

Abstract

A substantial amount of research has been conducted to investigate the effects of physical and cognitive changes on smartphone task performance. Prior research examined the effects of age difference and smartphone visual search tasks. The results confirmed the effects of age on task performance. Several surprising findings emerged during the processing of the data. Aside from task performance, differences in demographic characteristics and smartphone usage habits were found between elderly and other age groups. After reviewing literature, the authors found that there has not been any research on how demographic characteristics or usage behaviors may be related to smartphone task performance. The objectives of this present study are to examine how demographic characteristics correlated to smartphone task performance and to compare general and senior users. The results showed differences between general and senior users in term of demographic characteristics and smartphone usage behaviors. The analysis found that both demographic factors and usage behavior correlated with task performance.

Suggested Citation

  • Lumpapun Punchoojit, 2022. "A Correlation Study of Demographic Characteristics and Smartphone Task Performance: A Comparison Between Younger and Elderly Users," International Journal of Mobile Human Computer Interaction (IJMHCI), IGI Global, vol. 14(1), pages 1-18, January.
    • Handle: RePEc:igg:jmhci0:v:14:y:2022:i:1:p:1-18
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJMHCI.313026
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rex Perez Bringula & Janszen Kiel L. Jose & Arnelle T. Lardizabal & John Raymon D. Lizaso, 2023. "Predictors of Usability of a Mobile Intelligent Agent Information Provider for College Students," International Journal of Mobile Human Computer Interaction (IJMHCI), IGI Global, vol. 15(1), pages 1-19, January.

    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:jmhci0:v:14:y:2022:i:1:p:1-18. 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.