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
6/19/2024
cs.HCcs.AI

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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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Cite this paper

@article{tang2024whats,
  title  = {What's Next? Exploring Utilization, Challenges, and Future Directions of AI-Generated Image Tools in Graphic Design},
  author = {Yuying Tang and Mariana Ciancia and Zhigang Wang and Ze Gao},
  year   = {2024},
  eprint = {2406.13436},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2406.13436v1}
}

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