How to assess user interaction effects in Biometric performance

Ramón Blanco-Gonzalo, R. Sánchez-Reillo, J. Liu-Jimenez, Carlos Sanchez-Redondo
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引用次数: 7

Abstract

Since biometric recognition systems are part of peoples' daily life, manufacturers are more concerned about the data subject interaction and the effects that low usability may have in final users. Why people may not use swipe fingerprint sensors in smartphones? Now that biometric recognition is also used in mobile devices, this influence is higher as the variability of biometrics uses is also higher. The interaction is not fixed anymore, nor scenarios or positions. People unlock their smartphones with the face at night or make payments with the fingertip in a bar. Enrollments are not under control and no proper guides are given to data subjects. All these facts point out the necessity of evaluate the effects of the interaction on the biometric performance as a major factor of influence. This work introduces an evaluation methodology proposed as standard within the ISO/IEC/JTC1/SC37 - Biometrics and its development, justifying the design criteria based on previous experimentation and further works.
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如何评估用户交互对生物识别性能的影响
由于生物识别系统是人们日常生活的一部分,制造商更关心数据主体的交互以及低可用性可能对最终用户产生的影响。为什么人们不能在智能手机上使用滑动指纹传感器?现在,生物识别也用于移动设备,这种影响更大,因为生物识别使用的可变性也更高。交互不再固定,场景或位置也不再固定。人们在晚上用面部解锁智能手机,或者在酒吧用指尖付款。登记情况不受控制,也没有向资料当事人提供适当的指导。所有这些事实都表明,有必要将相互作用对生物识别性能的影响作为主要影响因素进行评估。本工作介绍了ISO/IEC/JTC1/SC37 -生物识别技术及其发展中作为标准提出的评估方法,根据先前的实验和进一步的工作证明了设计标准。
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