생성형 디자인 도구에 대한 시각디자인 학습자의 전환의도

The present study aims to explore the process by which visual design students develop switching intentions toward AI-based generative design tools. Generative design tools are considered to play a key role in moving away from traditional design education methods, creating a more creative design learning environment, and enhancing learners' design problem-solving abilities. However, there are no studies evaluating the acceptance of visual design learners to use generative design tools. Most importantly, this work was framed using the Modified Artificially Intelligent Device User Acceptance (MAIDUA) as a theoretical framework. In the present work, a series of research hypotheses were designed by relating six study constructs of utilitarian motivation, interaction convenience, task-technology fit, perceived competence, flow, and switching intention. The conceptual model was validated on survey data collected from two-hundred and seventy two high school students enrolled in visual design programs at specialized high schools in South Korea. A PLS(partial least square)-based structural equation modeling analysis was conducted to verify the conceptual model and five research hypotheses. A scale refinement process was conducted on the measures of measurement items, and a confirmatory factor analysis was performed to assess the construct validity of measurement model. The results from a path analysis indicate that the impact of utilitarian motivation on perceived competence was not statistically significant. However, two constructs of interaction convenience and task-technology fit emerged as positive and significant predictors of perceived competence. Furthermore, perceived competence was found to be significantly predictive of flow experience, which in turn, have negatively and significantly impact on switching intention. In addition, MAIDUA is a valid predictive model, explaining 26.2% of the total variance in switching intentions toward AI-based generative design tool.