mlsanityData to 14 Oct 2026

What's Next? Exploring Utilization, Challenges, and Future Directions of AI-Generated Image Tools in Graphic Design

arXiv 2406.13436 ↗First posted 19 Jun 2024cs.HC cs.AIcited by 5

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Abstract (arXiv)

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.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 12 of its 39 references that are in the map. First posted on arXiv 19 Jun 2024.

Builds on

12 of 39 references.

References · 12

  1. 2017Attention Is All You Needcited by 60,361
  2. 2020Language Models are Few-Shot Learnerscited by 32,419
  3. 2023DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusioncited by 167
  4. 2017CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Normscited by 96
  5. 2023PLay: Parametrically Conditioned Layout Generation using Latent Diffusioncited by 24
  6. 2024Understanding Nonlinear Collaboration between Human and AI Agents: A Co-design Framework for Creative Designcited by 22
  7. 2018DeSIGN: Design Inspiration from Generative Networkscited by 20
  8. 2019An Interaction Framework for Studying Co-Creative AIcited by 19
  9. 2023Exploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Toolscited by 17
  10. 2023Why is AI not a Panacea for Data Workers? An Interview Study on Human-AI Collaboration in Data Storytellingcited by 7
  11. 2023Generative AI for Product Design: Getting the Right Design and the Design Rightcited by 6
  12. 2023AI Nushu: An Exploration of Language Emergence in Sisterhood -Through the Lens of Computational Linguisticscited by 4

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 3; 2026: 2.

5 papers.

  1. 2025GenTune: Toward Traceable Prompts to Improve Controllability of Image Refinement in Environment Designcited by 5
  2. 2025From Fragment to One Piece: A Survey on AI-Driven Graphic Designcited by 2
  3. 2025AnimAgents: Coordinating Multi-Stage Animation Pre-Production with Human-Multi-Agent Collaborationcited by 1
  4. 2026Beyond the Desk: Barriers and Future Opportunities for AI to Assist Scientists in Embodied Physical Taskscited by 1
  5. 2026ExpressEdit: Fast Editing of Stylized Facial Expressions with Diffusion Models in Photoshopcited by 0