생성형 디자인 도구에 대한 시각디자인 학습자의 전환의도|RISS 상세보기

다국어 초록 (Multilingual Abstract)

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.

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참고문헌 (Reference)

1 Oktradiksa, A., "Utilization artificial intelligence to improve creativity skills in society 5.0" 1760 (1760): 012032-, 2021

2 Leftheriotis, I., "Using social media for work : Losing your time or improving your work" 31 : 134-142, 2014

3 Venkatesh, V., "User acceptance of information technology : Toward a unified view" 27 (27): 425-478, 2003

4 Jin, Y., "Understanding fashion designers’behavior using generative AI for early-stage concept ideation and revision" 37 (37): 25-45, 2024

5 Taber, K., "The use of Cronbach’s Alpha when developing and reporting research instruments in science education" 48 : 1273-1296, 2018

6 Mitchell, W. J., "The theoretical foundation of computer-aided architectural design"

7 Bendoly, E., "The role of generative design and additive manufacturing capabilities in developing human–AI symbiosis : Evidence from multiple case studies" 55 (55): 325-345, 2024

8 Lee, H., "The rise of ChatGPT: Exploring its potential in medical education" 2023

9 Chuang, S., "The applications of constructivist learning theory and social learning theory on adult continuous development" 60 (60): 6-14, 2021

10 Urquhart, L., "The application of generative algorithms in human-centered product development" 12 (12): 3682-, 2022