IDEAS home Printed from https://ideas.repec.org/a/aac/ijirss/v8y2025i5p1747-1758id9271.html
   My bibliography  Save this article

The perceived effort expectancy on assistive technology: A comparative analysis among the pre-ageing and ageing population

Author

Listed:
  • Mansoor Ali Mohamed Yusoof
  • Haris Bin Abd Wahab
  • Kumarashwaran Vadevelu

Abstract

Age stereotyping leads to the digital divide, which assistive technology aims to overcome. There is a need to address such stereotyping in terms of the capabilities and effort expectancy of assistive technology, based on cognitive, physical, and social capabilities. This research examines the variation in response for the constructs of cognitive, physical capabilities, and social presence, as well as effort expectancy. An effective model was also developed using the ANN for future work. This study focused on the effort expectancy of assistive technology and the factors of cognitive, physical, and social changes caused by aging. Data was collected through a structured questionnaire derived and adopted from previous studies from pre-aging (45 to 60 years of age) and aging (60–75 years of age) users. It was found that there was no significant difference in the responses among the pre-aging and aging respondents when it comes to cognitive and physical aspects, as many perceive themselves to be younger than their actual chronological age. However, social factors were responded to differently among the two groups due to different social needs and self-determination of the aging respondents. The findings offer a new affective model that can be explored in the near future, which can provide practical implications for technology developers, designers, and policymakers aiming to improve the accessibility and usability of technology for aging individuals.

Suggested Citation

  • Mansoor Ali Mohamed Yusoof & Haris Bin Abd Wahab & Kumarashwaran Vadevelu, 2025. "The perceived effort expectancy on assistive technology: A comparative analysis among the pre-ageing and ageing population," International Journal of Innovative Research and Scientific Studies, Innovative Research Publishing, vol. 8(5), pages 1747-1758.
  • Handle: RePEc:aac:ijirss:v:8:y:2025:i:5:p:1747-1758:id:9271
    as

    Download full text from publisher

    File URL: https://ijirss.com/index.php/ijirss/article/view/9271/2078
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:aac:ijirss:v:8:y:2025:i:5:p:1747-1758:id:9271. 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: Natalie Jean (email available below). General contact details of provider: https://ijirss.com/index.php/ijirss/ .

    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.