A study of users' acceptance and satisfaction of biometric systems

Abstract

International audienceBiometric 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 modalityindependent 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

Towards the Security Evaluation of Biometric Authentication Systems

“…Towards this goal, we present in this paper a modality-independent evaluation methodology for the security evaluation of biometric systems. It uses a database of common threats and vulnerabilities of biometric systems resulting to the results of desk research and laboratory testing [6] [7], and the notion of risk factor. The proposed method produces a security index (between 0 and 100, the highest score 100 corresponds to an unsecure system) which allows easily to compare the security level of biometric systems.…”

“…The proposed list was created to the results of desk research. It also noted threats and vulnerabilities that we found it valuable when collecting the GREYC-Kesytroke database [6], and during the usability study [7] of biometric systems. The list is based on an extended model to Ratha et al [3] model as illustrated in Figure 2, and it is divided into two sets:…”

The overview of trends and challenges in mobile biometrics

“…A consumer perspective of a biometric system are presented, for instance, by Lancelot Miltgen et al in [22] or by El-Abed et al in [23]. In state-of-art articles, the following factors may be important in studying the users' perception: -Sociodemography: depends on age, gender, religion, abilities and personal experiences of users; -Confidence: depends on users' feedback and if they trust the system; -Ease of use: depends on processing time and a sensor quality; -Privacy issues: depends on potential risk, if the system is easy to defraud, if the template is secured; -Physical invasiveness: depends on a biometric sensor, if the contact is needed or the sample acquisition is contactless; -Cultural issues: depends on the user culture.…”

Security & Privacy Implications in the Placement of Biometric-Based ID Card for Rwanda Universities

“…As researches found [24] [25], user acceptance is an important factor in the implementation of biometric systems. As users have impact on biometric systems operational performance, it is essential to address user concerns even if not felt necessary by the universities administrators to attain user confidence during the biometric system registration.…”