Comparative Analysis of User Experience(UX) in Generative AI-Based Design Tools : Focusing on Adobe Firefly, Canva Magic Design, and Figma AI

This study presents a comparative analysis of user experience (UX) in generative AI-based design tools, specifically Adobe Firefly, Canva Magic Design, and Figma AI. The experiment was conducted with two participant groups categorized by their level of design experience. Key UX metrics—including task completion time, error rate, output satisfaction, and overall user satisfaction—were evaluated using both quantitative and qualitative data. The analysis revealed that Canva Magic Design provided high efficiency and user satisfaction for novice users, primarily due to its intuitive interface and automated features. Adobe Firefly demonstrated superior performance among experienced users, particularly in terms of creative expression and the quality of final outputs. Figma AI received positive evaluations for its collaborative capabilities and flexible editing environment; however, its AI features were found to require improvement in terms of intuitiveness and accessibility. This study underscores the necessity of tailored UX design based on user proficiency levels and advocates for a user-centered approach in the future development of generative AI design tools.

Authors

Publication Details

Journal
Korea Institute of Design Research Society
Published
2025-09-30
DOI
https://doi.org/10.46248/kidrs.2025.3.532
Primary Topic
Diverse Topics in Contemporary Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Comparative Analysis of User Experience(UX) in Generative AI-Based Design Tools : Focusing on Adobe Firefly, Canva Magic Design, and Figma AI

Byoung‐Ju Yun
Korea Institute of Design Research Society
Diverse Topics in Contemporary Research
article

Comparative Analysis of User Experience(UX) in Generative AI-Based Design Tools : Focusing on Adobe Firefly, Canva Magic Design, and Figma AI

Byoung‐Ju Yun
article en

Abstract

This study presents a comparative analysis of user experience (UX) in generative AI-based design tools, specifically Adobe Firefly, Canva Magic Design, and Figma AI. The experiment was conducted with two participant groups categorized by their level of design experience. Key UX metrics—including task completion time, error rate, output satisfaction, and overall user satisfaction—were evaluated using both quantitative and qualitative data. The analysis revealed that Canva Magic Design provided high efficiency and user satisfaction for novice users, primarily due to its intuitive interface and automated features. Adobe Firefly demonstrated superior performance among experienced users, particularly in terms of creative expression and the quality of final outputs. Figma AI received positive evaluations for its collaborative capabilities and flexible editing environment; however, its AI features were found to require improvement in terms of intuitiveness and accessibility. This study underscores the necessity of tailored UX design based on user proficiency levels and advocates for a user-centered approach in the future development of generative AI design tools.

Korea Institute of Design Research SocietyVol. 10(3)
Openalex Percentile: Top 67%
Diverse Topics in Contemporary Research
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