探究中国大学生对人脸识别技术的风险认知和接受意向

IF 7.6 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
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引用次数: 0

摘要

为顺应中国 "智慧校园 "的发展趋势,人脸识别技术(FRT)在高等教育中的应用已从身份识别发展到情感识别,并引发了各种风险和争议。了解大学生的看法是解决这些问题、促进人工智能融合的关键。本研究扩展了 "技术接受与使用统一理论"(UTAUT)模型,以衡量学生对人脸识别技术的态度,并引入了三个新概念:个人创新能力"、"对系统的信任 "和 "感知风险"。结果表明,学生的个人创新能力和对系统的信任与他们的接受意愿呈正相关。对 FRT 的信任受隐私、心理和性能风险的影响,而社会风险的影响不大。由于校园监控的常态化,高校对 FRT 的抵制程度较低。与西方社会相比,中国学生 "和而不同 "的儒家文化立场降低了他们对校外监控带来的种族或宗教歧视的担忧。这些发现对于评估校外监控技术在高等教育中的必要性和合法性以及制定风险缓解策略至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring college students' risk perception and acceptance intention of facial recognition technology in China
In response to China’s ‘smart campus’ trend, facial recognition technology (FRT) in higher education has evolved from identification to emotion recognition, raising various risks and controversies. Understanding college students’ perceptions is key to addressing these concerns and facilitating AI integration. This study extends the Unified Theory of Acceptance and Use of Technology (UTAUT) model to gauge students’ attitudes towards FRT, introducing three new constructs: ‘personal innovativeness,’ ‘trust in the system,’ and ‘perceived risks.’ Results show that students’ personal innovativeness and trust in the system positively relate to their acceptance intention. Trust in FRT is hindered by perceived privacy, psychological, and performance risks, while perceived social risks are insignificant. Higher education shows less resistance to FRT due to normalized campus surveillance. Compared to Western societies, Chinese students’ Confucian cultural stance of ‘harmony but not uniformity’ reduces concerns about racial or religious discrimination from FRT. These findings are crucial for assessing FRT’s necessity and legality in higher education and devising risk mitigation strategies.
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来源期刊
Telematics and Informatics
Telematics and Informatics INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
17.00
自引率
4.70%
发文量
104
审稿时长
24 days
期刊介绍: Telematics and Informatics is an interdisciplinary journal that publishes cutting-edge theoretical and methodological research exploring the social, economic, geographic, political, and cultural impacts of digital technologies. It covers various application areas, such as smart cities, sensors, information fusion, digital society, IoT, cyber-physical technologies, privacy, knowledge management, distributed work, emergency response, mobile communications, health informatics, social media's psychosocial effects, ICT for sustainable development, blockchain, e-commerce, and e-government.
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