Heuristic Evaluation and Usability Testing of G-MoMo Applications

Simple item page
dc.contributor.authorGuma, Ali
dc.contributor.authorDida, Mussa Ally
dc.contributor.authorElikana Sam, Anael
dc.date.accessioned2023-08-02T15:36:36Z
dc.date.available2023-08-02T15:36:36Z
dc.date.issued2022
dc.description.abstractFinancial technology (FinTech) has swiftly revolutionized mobile money as one of the ways of accessing financial services in developing countries. Numerous mobile money applications were developed to access mobile money services but are hindered by severe authentication security challenges, thus, forcing the researchers to design a secure multi-factor authentication (MFA) algorithm for mobile money applications. Three prototypes of native mobile money applications (G-MoMo applications) were developed to confirm that the algorithm provides high security and is feasible. This study, therefore, aimed to evaluate the usability of the G-MoMo applications using heuristic evaluation and usability testing to identify potential usability issues and provide recommendations for improvement. Heuristic evaluation and usability testing methods were used to evaluate the G-MoMo applications. The heuristic evaluation was carried out by five experts that used the 10 principles proposed by Jakob Nielsen with a five-point severity rating scale to identify the usability problems. While the usability testing was conducted with forty participants selected using a purposive sampling method to validate the usability of the G-MoMo applications by performing tasks and filling out the post-test questionnaire. Data collected were analyzed in RStudio software. Sixty-three usability issues were identified during heuristic evaluation, where 33 were minor and 30 were major. The most violated heuristic items were “help and documentation”, and “user control and freedom”, while the least violated heuristic items were “aesthetic and minimalist design” and “visibility of system status”. The usability testing findings revealed that the G-MoMo applications’ performance proved good in learnability, effectiveness, efficiency, memorability, and errors. It also provided user satisfaction, ease of use, aesthetics, usefulness, integration, and understandability. Therefore, it was highly recommended that the developers of G-MoMo applications fix the identified usability problems to make the applications more reliable and increase overall user satisfaction.en_US
dc.identifier.citationAli, G., Dida, M. A., and Sam, A. E. (2022). Heuristic Evaluation and Usability Testing of G-MoMo Applications. Journal of Information Systems Engineering and Management, 7(3), 15751. https://doi.org/10.55267/iadt.07.12296en_US
dc.identifier.urihttps://doi.org/10.55267/iadt.07.12296
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/9092
dc.language.isoenen_US
dc.publisherJournal of Information Systems Engineering and Managementen_US
dc.subjectMobile moneyen_US
dc.subjectIndustry 4.0en_US
dc.subjectDigital transformationen_US
dc.subjectG-MoMo applicationsen_US
dc.subjectBlockchainen_US
dc.subjectHeuristic evaluationen_US
dc.subjectUsability testingen_US
dc.subjectExpertsen_US
dc.subjectParticipantsen_US
dc.titleHeuristic Evaluation and Usability Testing of G-MoMo Applicationsen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Heuristic Evaluation and Usability Testing of G-MoMo.pdf
Size:
1.32 MB
Format:
Adobe Portable Document Format
Description:
Article
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Engineering and Technology