2026-10-13T11:01:53Z https://www.scidb.cn/oai

10.57760/sciencedb.010px 2026-09-07T09:30:45Z

2026-09-07 Research on User Acceptance Mechanism of AI‑Generated Virtual Avatars doi:10.57760/sciencedb.010px en This dataset is a questionnaire survey data for "Research on the Acceptance Mechanism of AI Virtual Image Users", mainly used to study users' willingness and usage behavior towards AI generated virtual images and AI virtual anchors. The data was collected through a questionnaire survey from June 15, 2026 to July 5, 2026, which included a total of 337 questionnaire records. The data is stored in Excel format, with each row representing a questionnaire record. The main variables include respondents' gender (Gen), age (Age), education level (Edu), frequency of AI virtual anchor usage (Freq), as well as measurement items such as performance expectations (PE), effort expectations (EE), social impact (SI), convenience conditions (FC), behavioral intention (BI), and usage behavior (UB). In addition, the data set also contains information about common platforms for respondents to watch AI virtual anchors, including Bilibili, Little Red Book, Taobao, Kwai, YouTube, ParallelLive and other platforms. The items of the scale are recorded using numerical coding, and demographic variables and platform selection variables are also stored using coding methods. Some questionnaire records have incomplete follow-up scale items, and the corresponding cells are left blank. Researchers can process them according to specific research purposes and data screening criteria when conducting statistical analysis. This dataset can be used for descriptive statistics, reliability and validity analysis, correlation analysis, structural equation modeling analysis, and other empirical research related to the acceptance behavior of AI virtual image users. The data does not include personally identifiable information such as the interviewee's name and contact information.  AI Virtual Avatar; UTAUT Model; Use Frequency; Continued Use; Social Influence; Habit Mechanism; AI-generated virtual avatars; user acceptance; questionnaire survey liu chang sheng PUBLIC https://creativecommons.org/licenses/by-nc/4.0/ dataset Science Data Bank