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Biometric Systems Interaction Assessment: The State of the Art

Blanco-Gonzalo, Ramon, Miguel-Hurtado, Oscar, Lunerti, Chiara, Guest, Richard M., Corsetti, Barbara, Ellavarason, Elakkiya, Sanchez-Reillo, Raul (2019) Biometric Systems Interaction Assessment: The State of the Art. IEEE Transactions on Human-Machine Systems, 49 (5). pp. 397-410. ISSN 2168-2291. E-ISSN 2168-2305. (doi:10.1109/THMS.2019.2913672) (KAR id:74479)

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The design and implementation of effective and efficient biometric systems presents a series of challenges to information technology (IT) designers to ensure robust performance. One of the most important factors across biometric systems, aside from algorithmic matching ability, is the human interaction influence on performance. Changes in biometric system paradigms have motivated further testing methods, especially within mobile environments, where the interaction with the device has fewer environmental constraints, whichmay severely affect system performance. Testing methods involve the need for reflecting on the influence of user-system interaction on the overall system performance in order to provide information for design and testing. This paper reflects on the state of the art of biometric systems interaction assessment, leading to a comprehensive document of the relevant research and standards in this area. Furthermore, the current challenges are discussed and thus we provide a roadmap for the future of biometrics systems interaction research.

Item Type: Article
DOI/Identification number: 10.1109/THMS.2019.2913672
Uncontrolled keywords: Accessibility, biometrics, human-computer interaction (HCI), usability
Subjects: Q Science > QA Mathematics (inc Computing science)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Richard Guest
Date Deposited: 20 Jun 2019 15:31 UTC
Last Modified: 16 Feb 2021 14:05 UTC
Resource URI: (The current URI for this page, for reference purposes)
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