# GRAPHIC--Guidelines for Reviewing Algorithmic Practices in Human-centred Design and Interaction for Creativity

arXiv: https://arxiv.org/abs/2511.17443 · HTML: https://mlsanity.com/paper/2511.17443/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 26 of its 104 references that are in the map.
- First posted on arXiv 21 Nov 2025.

## Builds on (most cited first, 26 of 26)

- [Constrained Graphic Layout Generation via Latent Optimization](https://mlsanity.com/paper/2108.00871/) (2021)
- [Attribute-conditioned Layout GAN for Automatic Graphic Design](https://mlsanity.com/paper/2009.05284/) (2020)
- [Designing Creative AI Partners with COFI: A Framework for Modeling Interaction in Human-AI Co-Creative Systems](https://mlsanity.com/paper/2204.07666/) (2022)
- [CreativeConnect: Supporting Reference Recombination for Graphic Design Ideation with Generative AI](https://mlsanity.com/paper/2312.11949/) (2023)
- [Sequential Attention GAN for Interactive Image Editing](https://mlsanity.com/paper/1812.08352/) (2018)
- [Predicting Visual Importance Across Graphic Design Types](https://mlsanity.com/paper/2008.02912/) (2020)
- [From Explainable to Interactive AI: A Literature Review on Current Trends in Human-AI Interaction](https://mlsanity.com/paper/2405.15051/) (2024)
- [DeepFont: Identify Your Font from An Image](https://mlsanity.com/paper/1507.03196/) (2015)
- [Learning Visual Importance for Graphic Designs and Data Visualizations](https://mlsanity.com/paper/1708.02660/) (2017)
- [Understanding Nonlinear Collaboration between Human and AI Agents: A Co-design Framework for Creative Design](https://mlsanity.com/paper/2401.07312/) (2024)
- [Logo Synthesis and Manipulation with Clustered Generative Adversarial Networks](https://mlsanity.com/paper/1712.04407/) (2017)
- [GenQuery: Supporting Expressive Visual Search with Generative Models](https://mlsanity.com/paper/2310.01287/) (2023)
- [Evaluating Creativity in Computational Co-Creative Systems](https://mlsanity.com/paper/1807.09886/) (2018)
- [Adversarial Colorization Of Icons Based On Structure And Color Conditions](https://mlsanity.com/paper/1910.05253/) (2019)
- [An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions](https://mlsanity.com/paper/2310.07127/) (2023)
- [Explainable Computational Creativity](https://mlsanity.com/paper/2205.05682/) (2022)
- [Colors -Messengers of Concepts: Visual Design Mining for Learning Color Semantics](https://mlsanity.com/paper/1505.06532/) (2015)
- [MemoVis: A GenAI-Powered Tool for Creating Companion Reference Images for 3D Design Feedback](https://mlsanity.com/paper/2409.06082/) (2024)
- [AdaptiFont: Increasing Individuals' Reading Speed with a Generative Font Model and Bayesian Optimization](https://mlsanity.com/paper/2104.10741/) (2021)
- [Iconify: Converting Photographs into Icons](https://mlsanity.com/paper/2004.03179/) (2020)
- [Interactive Flexible Style Transfer for Vector Graphics](https://mlsanity.com/paper/2309.11628/) (2023)
- [Learning Personal Style from Few Examples](https://mlsanity.com/paper/2105.14457/) (2021)
- [Boosting Mixed-Initiative Co-Creativity in Game Design: A Tutorial](https://mlsanity.com/paper/2401.05999/) (2024)
- [Improving User Experience with FAICO: Towards a Framework for AI Communication in Human-AI Co-Creativity](https://mlsanity.com/paper/2504.02526/) (2025)
- [And Now for Something Completely Different: Visual Novelty in an Online Network of Designers](https://mlsanity.com/paper/1804.05705/) (2018)
- [ESSYS* Sharing #UC: An Emotion-driven Audiovisual Installation](https://mlsanity.com/paper/2209.03338/) (2022)

## Abstract (arXiv)

Artificial Intelligence (AI) has been increasingly applied to creative domains, leading to the development of systems that collaborate with humans in design processes. In Graphic Design, integrating computational systems into co-creative workflows presents specific challenges, as it requires balancing scientific rigour with the subjective and visual nature of design practice. Following the PRISMA methodology, we identified 872 articles, resulting in a final corpus of 71 publications describing 68 unique systems. Based on this review, we introduce GRAPHIC (Guidelines for Reviewing Algorithmic Practices in Human-centred Design and Interaction for Creativity), a framework for analysing computational systems applied to Graphic Design. Its goal is to understand how current systems support human-AI collaboration in the Graphic Design discipline. The framework comprises main dimensions, which our analysis revealed to be essential across diverse system types: (1) Collaborative Panorama, (2) Processes and Modalities, and (3) Graphic Design Principles. Its application revealed research gaps, including the need to balance initiative and control between agents, improve communication through explainable interaction models, and promote systems that support transformational creativity grounded in core design principles.