# ID.8: Co-Creating Visual Stories with Generative AI

arXiv: https://arxiv.org/abs/2309.14228 · HTML: https://mlsanity.com/paper/2309.14228/

## Key facts

- Cited by 7 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 25 Sep 2023.

## Built on by (most cited first, 7 of 7)

- [AI-Augmented Predictions: LLM Assistants Improve Human Forecasting Accuracy](https://mlsanity.com/paper/2402.07862/) (2024)
- [Survey of User Interface Design and Interaction Techniques in Generative AI Applications](https://mlsanity.com/paper/2410.22370/) (2024)
- [Social Life Simulation for Non-Cognitive Skills Learning](https://mlsanity.com/paper/2405.00273/) (2024)
- [Recursive InPainting (RIP): how much information is lost under recursive inferences?](https://mlsanity.com/paper/2407.09549/) (2024)
- [StoryEnsemble: Enabling Dynamic Exploration & Iteration in the Design Process with AI and Forward-Backward Propagation](https://mlsanity.com/paper/2508.03182/) (2025)
- [TaleForge: Interactive Multimodal System for Personalized Story Creation](https://mlsanity.com/paper/2506.21832/) (2025)
- [Generative AI Assisted Workflows in Architectural Conceptual Design: Performance, Creative Self-Efficacy, and Cognitive Load](https://mlsanity.com/paper/2601.10696/) (2026)

## Abstract (arXiv)

Storytelling is an integral part of human culture and significantly impacts cognitive and socio-emotional development and connection. Despite the importance of interactive visual storytelling, the process of creating such content requires specialized skills and is labor-intensive. This paper introduces ID.8, an open-source system designed for the co-creation of visual stories with generative AI. We focus on enabling an inclusive storytelling experience by simplifying the content creation process and allowing for customization. Our user evaluation confirms a generally positive user experience in domains such as enjoyment and exploration, while highlighting areas for improvement, particularly in immersiveness, alignment, and partnership between the user and the AI system. Overall, our findings indicate promising possibilities for empowering people to create visual stories with generative AI. This work contributes a novel content authoring system, ID.8, and insights into the challenges and potential of using generative AI for multimedia content creation.