This research is carried out to examine key factors user acceptance of Automatic Teller Machines (ATM) biometric authentication technology in Malaysian conventional banks. The target population was Malaysian commercial bank customers. The participants were randomly selected. The findings show that both performance expectancy and social influence have significant effects on user adoption of ATM biometric authentication. Therefore, the system developer should develop a biometric ATM system that would be able to validate an ATM users identity by comparing the captured gait, palm, voice and signature data with the users gait, palm, voice and signature template stored system database.
Devinaga A/p Rasiah and Yuen Yee Yen. User Acceptance of Biometric Authentication in Malaysian ATMs.
DOI: https://doi.org/10.36478/ibm.2016.3607.3610
URL: https://www.makhillpublications.co/view-article/1993-5250/ibm.2016.3607.3610