Intention to use biometrie systems among international students in Cyprus

Issa Djeni, Meryem Erbilek
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引用次数: 1

Abstract

In biometrie authentication system the false acceptance rate (FAR) and false rejection rate (FRR) are two signifieant performanee metries used to illustrate the seeurities level of the system. All the biometric systems do not have an equal FAR and FRR. De facto, some biometric technologies are mathematically more vulnerable than the others. These disparities affect the behavioral intention toward biometric technology. This research aims to investigate the factors affecting the intention to use biometric system among international students staying on campus and those enrolled in graduate course in biometric system engineering. To address this problem, a proposed technology acceptance model will be tested empirically with 98 international students in two universities in Cyprus. The results of these studies have shown that among privacy concerns, biometrics system quality and personal innovativeness in IT, only performance expectancy and perceived securities are the main drivers of biometric system adoption. Additionally, the attendance of biometric course does affect the intention to use. The predictors investigated account for 40% of behavioral intentions. These findings could be extended to the intention to use biometric system in developing countries with infrastructure similar to Cyprus. Finally, organizations planning to use biometric in the future should carry out a non-professional training on how biometric system works.
有意在塞浦路斯的国际学生中使用生物识别系统
在生物特征认证系统中,错误接受率(FAR)和错误拒绝率(FRR)是用来说明系统安全水平的两个重要性能指标。并非所有的生物识别系统都具有相同的FAR和FRR。事实上,一些生物识别技术在数学上比其他技术更脆弱。这些差异影响了人们对生物识别技术的行为意向。本研究旨在探讨影响在校留学生及生物识别系统工程研究生使用生物识别系统意向的因素。为了解决这一问题,本文将对塞浦路斯两所大学的98名国际学生提出的技术接受模型进行实证检验。这些研究结果表明,在隐私问题、生物识别系统质量和个人在IT方面的创新中,只有绩效预期和感知安全是采用生物识别系统的主要驱动因素。此外,参加生物识别课程也会影响使用意愿。所调查的预测因子占行为意向的40%。这些发现可以扩展到在基础设施类似塞浦路斯的发展中国家使用生物识别系统的意图。最后,计划在未来使用生物识别技术的组织应该对生物识别系统如何工作进行非专业培训。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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