Abstract
Mobile device growth is rapid, and it has a significant impact on our private and professional lives. All mobile users want to be guaranteed that their data is safe, which is why biometrics exists for mobile devices. Countless surveys have been performed on the adoption of biometric verification techniques, however, only a limited number of these surveys have concentrated on mobile device-based biometrics, including this current research. This quantitative study’s overall model was put to test on 302 mobile users via survey questionnaire distribution and analyzed utilizing the Statistical Package for Social Science (SPSS). Validity and reliability tests were performed and the model proved to be fit. The findings showed that the SSN variable of the proposed model was not supported, indicating that more research is required. In addition, the research model’s functional elements have a greater impact on the participants’ desire to use the mobile biometric system than the social elements. The study adds to academic knowledge by proposing new constructs that combine MBTAM to assess the likelihood of mobile device users adopting biometric verification techniques.
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Acknowledgement
This work was authored by Malatji W.R. The author would like to thank Doctor Rene Van Eck and Professor Tranos Zuva for their contributions, helpfulness and support during this study.
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Malatji, W.R., VanEck, R., Zuva, T. (2021). Measuring the Adoption of Biometric Verification Technique Implementations on Mobile Devices. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Software Engineering Application in Informatics. CoMeSySo 2021. Lecture Notes in Networks and Systems, vol 232. Springer, Cham. https://doi.org/10.1007/978-3-030-90318-3_13
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