Blanco Gonzalo, RamónMiguel Hurtado, ÓscarLunerti, ChiaraGuest, Richard M.Corsetti, BárbaraEllavarason, ElakkiyaSanchez-Reillo, Raul2021-12-162021-12-162019-10Blanco-Gonzalo, R., Miguel-Hurtado, O., Lunerti, C., Guest, R. M., Corsetti, B., Ellavarason, E. & Sanchez-Reillo, R. (2019). Biometric Systems Interaction Assessment: The State of the Art. IEEE Transactions on Human-Machine Systems, 49(5), 397–410.2168-2291https://hdl.handle.net/10016/33778The 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, which may 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.14eng© The authors, 2019. This work is licensed under a Creative Commons Attribution 3.0 License.Atribución 3.0 EspañaAccessibilityBiometricsHuman-computer interaction (HCI)Usabilityresearch articleElectrónicahttps://doi.org/10.1109/THMS.2019.2913672open access3975410IEEE Transactions on Human-Machine Systems49AR/0000024529