STUDY ON THE FACTORS AFFECTING THE BEHAVIORAL INTENTION OF STUDENTS MAJORING IN ART DESIGN TO USE AIGC AIDED DESIGN

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Yuanbo Zhong
Yuhong Dai
Tianyu Luo

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This study aims to discuss the factors affecting the behavioral intention of students majoring in Art Design at the College of Chinese & ASEAN Arts, Chengdu University to use AIGC aided design. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT), this paper identifies five factors that affect the willingness of students majoring in art design to use Artificial Intelligence Generated Content (AIGC) aided design, and analyzes their relationship with the Behavioral Intention (BI). A model containing five latent variables, including Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), Facilitating Condition (FC) and Attitude (ATT), is constructed to test the significant impact of students on Behavioral Intention (BI). By adopting the mature scale design questionnaire and quota sampling method, 500 questionnaires were distributed among 818 students majoring in art design in three directions (Visual Communication, Environmental Art Design and Product Design) from four grades (grades 2020-2023) at a rate of 61%, and 476 valid questionnaires were recovered, and corresponding data were analyzed by Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM). The results of data analysis show that all independent and mediating variables have a significant impact on the Behavioral Intention (BI) of the dependent variable, in which Social Influence (SI) and Performance Expectancy (PE) have the greatest impact. Therefore, the teaching management institutions in the field of art design should evaluate and improve the current teaching mode of AIGC aided design based on the results of this study and strengthen the application of AIGC in art and design courses in order to obtain more ideal teaching results.

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