What's Next? Exploring Utilization, Challenges, and Future Directions of AI-Generated Image Tools in Graphic Design
Yuying Tang, Mariana Ciancia, Zhigang Wang, Ze Gao

TL;DR
This paper explores how graphic designers currently use AI-generated image tools, identifies challenges they face, and suggests future directions for developing these tools to better support creative workflows.
Contribution
It provides empirical insights from designer interviews on AI tool usage, challenges, and future needs, guiding future AI tool development for graphic design.
Findings
AI tools act as creative partners enhancing human creativity
Designers face specific challenges with current AI tools
Recommendations for future AI tool development in graphic design
Abstract
Recent advancements in artificial intelligence, such as computer vision and deep learning, have led to the emergence of numerous generative AI platforms, particularly for image generation. However, the application of AI-generated image tools in graphic design has not been extensively explored. This study conducted semi-structured interviews with seven designers of varying experience levels to understand their current usage, challenges, and future functional needs for AI-generated image tools in graphic design. As our findings suggest, AI tools serve as creative partners in design, enhancing human creativity, offering strategic insights, and fostering team collaboration and communication. The findings provide guiding recommendations for the future development of AI-generated image tools, aimed at helping engineers optimize these tools to better meet the needs of graphic designers.
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Taxonomy
TopicsAugmented Reality Applications · Digital Media and Visual Art
