Main Article Content
With the arrival of the fourth industrial revolution, new technologies have been applied in many fields. An example is the face recognition technology applied in customs, attendance, payment, and other fields, which greatly improved customer convenience. In the recent years, face recognition technology has been applied in the financial industry, and new face recognition settlement services have emerged. Face recognition payment scans a person's face through a camera, analyzes the eyes, mouth, ears, etc. as face feature points, and compares the extracted data with the stored database to determine whether it is the person. When payment requires identity verification, face recognition is used instead of password input or other verification systems, and this only takes five seconds to complete. The purpose of this study is to successfully diffuse face recognition payment services and investigate resistance to use, giving businesses information to refer to. Therefore, this paper makes an empirical analysis of how the characteristics of settlement system and innovation resistance affect the intention to use. In this study, an empirical analysis was conducted after reviewing previous studies on the characteristics of the financial system, innovation resistance, and intention to use. Based on previous studies, Rephrase.
The characteristics of face recognition payment system includes convenience, reliability, security, and contactless transaction. A survey was conducted among Chinese users and the results were analyzed using Smart PLS 2.0 structural equations. The results of the study are as follows. First, among the features of the face recognition payment system, convenience, reliability, and security have a negative effect on user innovation resistance. Second, among the features of the face recognition payment system, non-contact has a positive impact on user innovation resistance. Third, user innovation resistance has a negative effect on the intention to use.