Testing the Usability of the MediCare System

Et.al, Sarmad Monadel Sabree Al-Gayar

doi:10.17762/turcomat.v12i3.1569

Cited by 4 publications

(4 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The usability testing results showed that the native G-MoMo applications were helpful because their features allowed mobile money subscribers to register, deposit money, withdraw money, send money, update their mobile money PINs and biometric fingerprints, and so on. This is consistent with the studies conducted by and Al-Gayar et al (2021), where they found the applications helpful in achieving their goals.…”

Section: Heuristic Evaluation and Usability Testing (I) Several Usabi...supporting

confidence: 90%

“…The mobile money subscribers were satisfied with the features and functionalities of the G-MoMo applications, the information, and the display quality. This attribute was reported in other studies conducted by Byun et al (2020) The new mobile money subscribers found it easy to use the native G-MoMo applications because of the simplicity of the interfaces, features, and functionalities, which helped achieve total satisfaction (Byun et al, 2020;Merks et al, 2020;Lersilp et al, 2020;Sukmasetya et al, 2020;Al-Gayar et al, 2021;Kairy et al, 2021).…”

Section: Heuristic Evaluation and Usability Testing (I) Several Usabi...supporting

confidence: 59%

“…,Zakaria et al (2020),Alturki et al (2020),Tyas and Khairunisa (2020),Emanuela et al (2020),Mubeen et al (2020),), Al-Gayar et al (2021,Putri et al (2021),Lowe et al (2021), andA'bas et al (2021), where it was found that the users were satisfied with the applications.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Development of a secure multi-factor authentication algorithm for mobile money applications

Guma¹

View full text Add to dashboard Cite

With the evolution of industry 4.0, financial technologies have become paramount and mobile money as one of the financial technologies has immensely contributed to improving financial inclusion among the unbanked population. Several mobile money schemes were developed but, they suffered severe authentication security challenges since they implemented two-factor authentication. This study focused on developing a secure multi-factor authentication (MFA) algorithm for mobile money applications. It uses personal identification numbers, one-time passwords, biometric fingerprints, and quick response codes to authenticate and authorize mobile money subscribers. Secure hash algorithm-256, Rivest-Shamir-Adleman encryption, and Fernet encryption were used to secure the authentication factors, confidential financial information and data before transmission to the remote databases. A literature review, survey, evolutionary prototyping model, and heuristic evaluation and usability testing methods were used to identify authentication issues, develop prototypes of native genuine mobile money (G-MoMo) applications, and identify usability issues with the interface designs and ascertain their usability, respectively. The results of the review grouped the threat models into attacks against privacy, authentication, confidentiality, integrity, and availability. The survey identified authentication attacks, identity theft, phishing attacks, and PIN sharing as the key mobile money systems’ security issues. The researcher designed a secure MFA algorithm for mobile money applications and developed three native G-MoMo applications to implement the designed algorithm to prove the feasibility of the algorithm and that it provided robust security. The algorithm was resilient to non-repudiation, ensured strong authentication security, data confidentiality, integrity, privacy, and user anonymity, was highly effective against several attacks but had high communication overhead and computational costs. Nevertheless, the heuristic evaluation results showed that the G-MoMo applications’ interface designs lacked forward navigation buttons, uniformity in the applications’ menu titles, search fields, actions needed for recovery, and help and documentation. Similarly, the usability testing revealed that they were easy to learn, effective, efficient, memorable, with few errors, subscriber satisfaction, easy to use, aesthetic, easy to integrate, and understandable. Implementing a secure mobile money authentication and authorisation by combining multiple factors which are securely stored helps mobile money subscribers and other stakeholders to have trust in the developed native G-MoMo applications.

show abstract

Section: Heuristic Evaluation and Usability Testing (I) Several Usabi...supporting

confidence: 90%

Section: Heuristic Evaluation and Usability Testing (I) Several Usabi...supporting

confidence: 59%

See 1 more Smart Citation

Development of a secure multi-factor authentication algorithm for mobile money applications

Guma¹

View full text Add to dashboard Cite

show abstract

“…The mobile money subscribers were satisfied with the features and functionalities of the G-MoMo applications, the information, and the display quality. This attribute was reported in other The new mobile money subscribers found it easy to use the native G-MoMo applications because of the simplicity of the interfaces, features, and functionalities, which helped achieve total satisfaction (Byun et al, 2020;Merks et al, 2020;Lersilp et al, 2020;Sukmasetya et al, 2020;Al-Gayar et al, 2021;Kairy et al, 2021).…”

Section: Heuristic Evaluation and Usability Testingmentioning

confidence: 65%

Development of a secure multi-factor authentication algorithm for mobile money applications

Ali

View full text Add to dashboard Cite

With the expansion of industry 4.0, financial technology (FinTech) has become paramount in this era. Mobile money as one of the FinTech has immensely contributed to improving financial inclusions among the unbanked population in many developing countries. Several mobile money schemes were developed to ensure easy access to mobile money services. However, they have suffered severe authentication security challenges since implementing two-factor authentication (2FA). Therefore, this research developed a secure multi-factor authentication (MFA) algorithm for mobile money applications that combines personal identification number (PIN), one-time password (OTP), and biometric fingerprints to authenticate the mobile money subscribers. It also used the customer’s biometric fingerprints and the agent’s quick response (QR) code to authorise money withdrawal. The PINs and OTP are secured by secure hashing algorithm-256 (SHA-256) and biometric fingerprints by Fast IDentity Online (FIDO), where the Rivest-Shamir-Adleman (RSA) encryption protects the public/private key pair and the fingerprint templates. The QR codes, confidential financial information in the databases, and all the data before transmission to the remote databases are secured using Fernet encryption. A design science research approach was employed in the research using a mixed-method. The review results identified and grouped the threat models into attacks against privacy, authentication, confidentiality, integrity, and availability. The cryptographic functions and personal identification were the countermeasures. The survey identified authentication attacks, identity theft, phishing attacks, and PIN sharing as the crucial security issues Uganda’s mobile money systems encountered. The security analysis of the designed algorithm and developed native genuine mobile money (G-MoMo) applications proved that it provided robust security during authentication and ensured data confidentiality, integrity, privacy and user anonymity. It is highly effective against several security attacks and resilient to non-repudiation. The performance analysis results showed that the algorithm enhanced security but had high communication overhead and computational cost. Lack of a forward navigation button, lack of uniformity in the applications menu title, lack of search field options, lack of actions needed for recovery, and lack of help & documentation, were identified as the results of the usability issues with the native G-MoMo applications’ user interfaces. While the results of the usability testing showed that the native G-MoMo applications were learnable, effective, efficient, memorable, had few errors, satisfaction, ease of use, aesthetic, helpful, easy to integrate, and understandable. In conclusion, implementing a secure mobile money authentication using the ii novel approach combining multiple factors helps mobile money subscribers and other stakeholders trust the mobile money industry since the security goals are highly maintained.

show abstract

Heuristic Evaluation and Usability Testing of G-MoMo Applications

Ali

2022

J INFORM SYSTEMS ENG

View full text Add to dashboard Cite

Financial 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.

show abstract

Testing the Usability of the MediCare System

Cited by 4 publications

References 16 publications

Development of a secure multi-factor authentication algorithm for mobile money applications

Development of a secure multi-factor authentication algorithm for mobile money applications

Development of a secure multi-factor authentication algorithm for mobile money applications

Heuristic Evaluation and Usability Testing of G-MoMo Applications

Contact Info

Product

Resources

About