Abstract
Biometric devices play an integral role in consumer’s daily life, providing a seamless environment. However, it is essential to measure the usability of biometrics, owing to the elements of biometrics satisfying both usability and security. This study redefines the elements of biometrics pertaining to usability determined in previous studies and adds elements of psychological relevance, such as privacy concerns. To organize the interrelated usability structure systemically, this paper applies the DEcision MAking Trial and Evaluation Laboratory (DEMATEL) to derive the usability structure. Thereupon, the established structure is applied in the clustered weighted Analytical Network Processes (ANP) to generate the proposed usability evaluation model. By these methods, the pertinent relationships between the factors are clarified and the weight of each element is determined. In the empirical study, 106 students measured usability of the fingerprint recognition system, iris recognition system, and facial recognition system employing our usability evaluation model. The results of this model generate the quantitative score of usability for biometric systems and suggest strategies to increase the score. The proposed usability evaluation model can comprehensively assist usability practitioners to evaluate biometric systems.
Highlights
Biometric system, an identification system based on people’s physiological or behavioural attributes, has been attracting avid interest due to its accuracy, agility, and ease of use with identification and authentication functions [1]
The use of biometrics is accelerating as the Internet of Things (IoT) becomes pervasive, since IoT devices are better suited for biometric authentication than for passwords, owing to the absence of an input tool
The purpose of this paper is to propose a new model for evaluating usability of biometric systems and compare the same with three widely used biometric modalities
Summary
An identification system based on people’s physiological or behavioural attributes (e.g., iris, fingerprint, voice), has been attracting avid interest due to its accuracy, agility, and ease of use with identification and authentication functions [1]. The wearable device attaches to the user’s body, thereby measuring and storing information of the user’s activity and providing a customized service to the user Since such biometric systems interact directly with the user’s body, in addition to the usability testing methods of existing equipment they must be evaluated for ergonomics. Biometric systems need to be ergonomically suitable for the user It is Security and Communication Networks necessary to include ergonomics of the biometric systems as an element when developing the usability evaluation model. MCDM model combining DEMATEL and ANP is effective in obtaining interrelation and relative weight of various factors of usability. SAW method is the simplest method available in decision making, where each element is weighted and added Using these scores, we compare various biometric modalities of the smartphones and illustrate the effectiveness of the developed model.
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