当代科技迅猛发展，人脸识别技术作为一种前沿技术，正广泛应用于国内的居民小区、公共场所等各个领域。人脸识别技术的初衷是为了提高社区管理、人流密集场所管理以及政府部门等应急管理的效果，在实际应用中取得了显著成效，也得到了立法机构和社会公众的逐渐接受。特别是在一些公共场所，如机场、火车站、商场等，为减少人工劳动、提升用户体验等方面带来了积极影响。在繁忙的人流中，人脸识别技术可以快速识别身份信息，提高通行效率，为人们的出行提供了便利。然而，随着人脸识别技术的推广与应用，技术与隐私的边界模糊开始引起社会各界关注。与此同时，公民个人信息安全已经成为国家各部门关注和重视的一项内容，对于公民个人信息使用的规范和约束政策也在逐步出台。在此背景下，人脸识别中保障公众生命财产安全与保护个人隐私关系的平衡问题，亟待探讨。

本文以人脸识别系统为研究对象，采用UTAUT模型（整合型技术接受模型）和感知风险理论作为分析框架，探究影响用户对人脸识别系统接受度的因素。本研究采用线上问卷调查的方法，共收回有效问卷498份。

本文对回收的498份有效问卷信息开展描述性统计分析、信度和效度检验，最终验证前文所提出的7点假设成立，得出了影响公众对人脸识别系统接受度的因素。即：认知程度能显著正向影响接受程度，风险感知能负向影响接受程度，努力期望能显著正向影响接受程度，使用期望能正向影响人脸识别的接受度，社会影响会正向作用于接受程度，促成条件对使用人脸识别接受度有正向的作用，接受程度会正向影响使用行为。

With the rapid development of modern technology, facial recognition technology, as a cutting-edge technology, is widely used in various fields in China, such as residential communities, public places, etc. The original intention of facial recognition technology is to improve community management, management of crowded places, emergency management in government departments, and it has achieved significant results in practical applications, gradually gaining acceptance from legislative bodies and the public. Especially in public places such as airports, train stations, and shopping malls, facial recognition technology is widely used in security monitoring, access control management, identity verification, and other fields, bringing positive impacts on improving security levels, reducing manual labor, and enhancing user experience. In busy crowds, facial recognition technology can quickly identify identity information, improve passage efficiency, and provide convenience for people's travel.However, as facial recognition technology is being promoted and applied, the blurred boundary between technology and privacy has begun to attract attention from all sectors of society. At the same time, the security of citizens' personal information has become a concern and priority for various government departments, and policies and regulations on the use of citizens' personal information are gradually being introduced. In this context, the balance between safeguarding public safety and protecting personal privacy in facial recognition needs to be explored urgently.

This paper takes the face recognition system as the research object, adopts the UTAUT model (integrated technology acceptance model) and the perceived risk theory as the analysis framework, to explore the factors affecting the users' acceptance of the face recognition system. In this study, online questionnaires were used, and 498 valid questionnaires were collected.

In this paper, descriptive statistical analysis, reliability and validity tests were carried out on 498 valid questionnaires, finally verifying the seven hypotheses above, and obtaining the factors affecting the public's acceptance of the face recognition system. Is: cognitive degree can significantly positive influence acceptance, risk perception can negatively influence acceptance degree, efforts to expect significant positive influence acceptance, use expect to positively influence the acceptance of face recognition, social influence will positive effect on acceptance degree, contribute to the conditions to use face recognition acceptance has positive effect, acceptance will positive affect use behavior.