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A study of users' acceptance and satisfaction of biometric systems

Biometric authentication methods are being increasingly used for many types of applications. Since such methods necessitate humans to interact with a device, effective implementation requires consideration of the perceptions and responses of end users. Towards this goal, we present in this paper a modality-independent evaluation methodology to study users' acceptance and satisfaction of biometric systems. It is based on the use of a questionnaire and some data mining tools for the analysis. We have applied it on two biometric systems developed in our research laboratory. The results from this study demonstrated that users' satisfaction analysis should be more taken into account when developing biometric systems. A significant panel of 70 users was more satisfied from the keystroke system than the other one. Users surprisingly considered that its perceived performance was also better even if the used face system has a better performance with an EER of 8.76% than the keystroke one with an EER of 17.51%. The robustness of a system against attacks and its perceived trust have been identified as important factors to take into account when designing biometric systems. Results have also demonstrated significant relationships between demographic factors and their perception about the biometric technology and the studied systems.