Facial recognition technology (FRT) has been rapidly applied, and it has been accompanied by the potential for misuse due to technical limitations and legal irregularities. This study aimed to provide a conceptualizing model to investigate the public perception of FRT, and to identify FRT scenarios with the potential for misuse. We first reviewed potential FRT application examples and partitioned them into nine FRT scenarios based on the clues that the public may perceive: the data involved, the use/development purpose, the use location, and the use pattern. Then, we conducted an online survey (N = 704) to investigate people's familiarity, trust, and attitude in each FRT scenario. Four public perception categories of FRT scenarios with a similar level of perception variables were identified (for example, category one including FRT scenarios with higher familiarity, higher trust, and more positive attitude). Besides, trust was revealed as the prominent factor of attitude in each scenario. Therefore, a public perception model of FRT scenarios including familiarity, trust, and attitude was built. FRT scenarios, including proactive, personalized services and passive business services, were perceived as most likely to be misused.

人脸识别技术 (FRT) 得到了迅速应用，但伴随着技术限制和法律违规行为的潜在误用。本研究旨在提供一个概念化模型来调查公众对 FRT 的看法，并确定可能被滥用的 FRT 场景。我们首先回顾了潜在的FRT应用实例，根据公众可能感知到的线索，将其划分为9个FRT场景：涉及的数据、使用/开发目的、使用地点、使用模式。然后，我们进行了一项在线调查（N = 704) 调查人们在每个 FRT 场景中的熟悉度、信任度和态度。识别出具有相似感知变量水平的四个 FRT 场景的公众感知类别（例如，第一类包括具有更高熟悉度、更高信任度和更积极态度的 FRT 场景）。此外，信任被揭示为每种情景中态度的突出因素。因此，构建了包括熟悉度、信任度和态度的FRT场景的公众感知模型。FRT 场景，包括主动、个性化服务和被动业务服务，被认为最有可能被滥用。