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首页> 外文会议>International Conference on HCI for Cybersecurity, Privacy and Trust;International Conference on Human-Computer Interaction >Testing Facial Recognition Software for Young Adults and Adolescents: An Integrative Review
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Testing Facial Recognition Software for Young Adults and Adolescents: An Integrative Review

机译：测试年轻成年人和青少年的面部识别软件：综合评论

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摘要

This integrative review synthesizes research findings from 2008 to 2020 on facial recognition software deployed for young adult and adolescent populations. The aim is to determine the extent to which tests deem these technologies effective, and the extent to which test design considers potential human factors and inherent ethical issues. The review answers the following questions: How are such applications tested? What are the strengths and weaknesses of test design? And what human factors issues do the tests address or implicate? Facial recognition software for this group primarily used experimental design but failed to meet sampling standards necessary for validating and generalizing findings. The software tested, study design, and topics covered left lingering questions about the potential clinical and ethical applications of the technology. They also overwhelmingly did not address the complexities of facial change over time and ethnicities that confound the accuracy of facial recognition software. Facial recognition bodes promising, but human factors could improve their development.
机译：这种综合评价综合了2008年至2020年对年轻成人和青少年人口的面部识别软件的研究发现。目的是确定测试认为这些技术有效的程度，以及测试设计考虑潜在的人类因素和固有的道德问题的程度。审查回答以下问题：如何测试此类应用程序？测试设计的优点和缺点是什么？有什么人为因素问题进行测试地址或涉及？本集团的面部识别软件主要使用实验设计，但未能满足验证和概括调查结果所需的抽样标准。该软件测试，研究设计和主题覆盖了关于该技术潜在临床和道德应用的左侧挥之不去的问题。他们也压倒性并没有解决面部变化的复杂性，而且种族困扰面部识别软件的准确性。面部识别节目有前途，但人类因素可以提高他们的发展。

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