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

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arxiv 2309.14228 v2 pith:M65TOMPC submitted 2023-09-25 cs.HC

classification cs.HC
keywords contentgenerativevisualstoriesstorytellingsystemusercreation
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. An Exploratory Study on Multi-modal Generative AI in AR Storytelling

    cs.HC 2025-05 conditional novelty 6.0 of 10

    The paper maps how storytellers prefer to use AI-generated text, audio, images, videos, and 3D content to augment AR stories, based on a 223-video analysis and two user studies with 30 participants.

  2. TaleForge: Interactive Multimodal System for Personalized Story Creation

    cs.CV 2025-06 conditional novelty 4.0 of 10

    TaleForge generates stories and illustrations in which the user's face becomes the main character, using Llama3 plus diffusion models and a 12-person user study showing stronger engagement.

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