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Study on Continuous Use Intention of AI Image Generation Tools Based on Extended UTAUT Model: Comparison of DALL-E 3, Midjourney, and Stable Diffusion
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확장된 UTAUT 모형을 활용한 AI 이미지 생성 도구 사용자들의 지속적 사용의도에 관한 연구: DALL-E 3, Midjourney, Stable Diffusion의 비교를 중심으로

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Type
Academic journal
Author
Zhi-Xun Chen (세종대학교) Ja-Kyoung Min (세종대학교)
Journal
Digital Contents Society Journal of Digital Contents Society Vol.25 No.12 KCI Accredited Journals
Published
2024.12
Pages
3,593 - 3,610 (18page)
DOI
10.9728/dcs.2024.25.12.3593

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Study on Continuous Use Intention of AI Image Generation Tools Based on Extended UTAUT Model: Comparison of DALL-E 3, Midjourney, and Stable Diffusion
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This study analyzed the relationship between user satisfaction and continued usage intention across three artificial intelligence (AI) image generation tools: DALL-E, Midjourney, and Stable Diffusion, further examining the differences stemming from each tool’s unique characteristics. For DALL-E, effort expectancy, social influence, and price value were found to significantly influence user satisfaction, whereas platform trust did not impact continued usage intention. In the case of Midjourney, user satisfaction directly affected continued usage intention, with platform trust serving as a partial mediator. Notably, community interaction and innovation tendency played pivotal roles in fostering satisfaction and trust. For Stable Diffusion, satisfaction did not directly influence continued usage intention, and platform trust acted as a full mediator. Digital technical competence demonstrated a moderated mediation effect in enhancing platform trust and increasing continued usage intention for DALL-E and Midjourney; however, this effect was not significant for Stable Diffusion.

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Abstract
Ⅰ. 서론
Ⅱ. 이론적 배경 및 연구가설
Ⅲ. 연구방법
Ⅳ. 연구결과
Ⅴ. 결론
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