University Group for Identification Technologies, Department of Electronic Technology, University Carlos III of Madrid, Leganés, Madrid.
School of Engineering and Digital Arts, University of Kent, Canterbury, United Kingdom.
PLoS One. 2018 Mar 22;13(3):e0194111. doi: 10.1371/journal.pone.0194111. eCollection 2018.
Biometric recognition is currently implemented in several authentication contexts, most recently in mobile devices where it is expected to complement or even replace traditional authentication modalities such as PIN (Personal Identification Number) or passwords. The assumed convenience characteristics of biometrics are transparency, reliability and ease-of-use, however, the question of whether biometric recognition is as intuitive and straightforward to use is open to debate. Can biometric systems make some tasks easier for people with accessibility concerns? To investigate this question, an accessibility evaluation of a mobile app was conducted where test subjects withdraw money from a fictitious ATM (Automated Teller Machine) scenario. The biometric authentication mechanisms used include face, voice, and fingerprint. Furthermore, we employed traditional modalities of PIN and pattern in order to check if biometric recognition is indeed a real improvement. The trial test subjects within this work were people with real-life accessibility concerns. A group of people without accessibility concerns also participated, providing a baseline performance. Experimental results are presented concerning performance, HCI (Human-Computer Interaction) and accessibility, grouped according to category of accessibility concern. Our results reveal links between individual modalities and user category establishing guidelines for future accessible biometric products.
生物识别技术目前已在多个认证场景中得到应用，最近在移动设备中得到了广泛应用，预计它将补充甚至取代传统的认证方式，如个人识别码 (PIN) 或密码。生物识别技术的便利性特点包括透明性、可靠性和易用性，然而，生物识别技术是否像直观和简单易用那样存在争议。生物识别系统是否可以使具有访问能力问题的人们更容易完成某些任务？为了研究这个问题，我们对一款移动应用程序进行了可访问性评估，测试对象在虚拟自动取款机 (ATM) 场景中提取现金。使用的生物认证机制包括面部、语音和指纹。此外，我们还采用了传统的 PIN 和模式方式，以检查生物识别识别是否确实是一种真正的改进。本工作中的试用测试对象是具有实际访问能力问题的人。同时也有一组没有访问能力问题的人参与，提供了一个基线性能。根据访问能力问题的类别，按照性能、人机交互 (HCI) 和可访问性进行分组，展示了实验结果。我们的研究结果揭示了个体模式与用户类别之间的联系，为未来的可访问生物识别产品提供了指导原则。
