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Predictors of Usability of a Mobile Intelligent Agent Information Provider for College Students

Author

Listed:
  • Rex Perez Bringula

    (University of the East, Philippines)

  • Janszen Kiel L. Jose

    (University of the East, Philippines)

  • Arnelle T. Lardizabal

    (University of the East, Philippines)

  • John Raymon D. Lizaso

    (University of the East, Philippines)

Abstract

This study determined the factors that influenced the usability of a mobile-based intelligent agent called “AskRed.” The design-related factors were evaluated in terms of performance, accuracy, responsiveness, aesthetics, and completeness. The usability of the software was determined in terms of satisfaction and intention to re-use the software. The software received favorable ratings from the students. Experts' software evaluation recommended strengthening the design of the intelligent agent in terms of security, performance, completeness, and ease-of-use. Multiple regression analyses showed that performance and completeness influenced satisfaction and intention to re-use. Aesthetics and responsiveness influenced satisfaction but not intention to re-use. Responsiveness had a negative impact on satisfaction. The predictive powers of the regression equations are 58% and 73%. This study provided empirical evidence on the predictors of usability of an intelligent agent used in a university setting.

Suggested Citation

  • 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.
    • Handle: RePEc:igg:jmhci0:v:15:y:2023:i:1:p:1-19
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    References listed on IDEAS

    as
    1. 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.
    2. Alalwan, Ali Abdallah, 2020. "Mobile food ordering apps: An empirical study of the factors affecting customer e-satisfaction and continued intention to reuse," International Journal of Information Management, Elsevier, vol. 50(C), pages 28-44.
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