Creative Wand: A System to Study Effects of Communications in Co-Creative Settings
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Abstract (arXiv)
Recent neural generation systems have demonstrated the potential for procedurally generating game content, images, stories, and more. However, most neural generation algorithms are "uncontrolled" in the sense that the user has little say in creative decisions beyond the initial prompt specification. Co-creative, mixed-initiative systems require user-centric means of influencing the algorithm, especially when users are unlikely to have machine learning expertise. The key to co-creative systems is the ability to communicate ideas and intent from the user to the agent, as well as from the agent to the user. Key questions in co-creative AI include: How can users express their creative intentions? How can creative AI systems communicate their beliefs, explain their moves, or instruct users to act on their behalf? When should creative AI systems take initiative? The answer to such questions and more will enable us to develop better co-creative systems that make humans more capable of expressing their creative intents. We introduce CREATIVE-WAND, a customizable framework for investigating co-creative mixed-initiative generation. CREATIVE-WAND enables plug-and-play injection of generative models and human-agent communication channels into a chat-based interface. It provides a number of dimensions along which an AI generator and humans can communicate during the co-creative process. We illustrate the CREATIVE-WAND framework by using it to study one dimension of co-creative communication-global versus local creative intent specification by the user-in the context of storytelling.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 19 of its 33 references that are in the map. First posted on arXiv 4 Aug 2022.
Builds on
19 of 33 references.
References · 19
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7 more
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- 2022Designing Creative AI Partners with COFI: A Framework for Modeling Interaction in Human-AI Co-Creative Systemscited by 59
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Citing papers per year: 2023: 3; 2024: 1; 2025: 5.
9 papers.
- 2023CALYPSO: LLMs as Dungeon Masters' Assistantscited by 23
- 2025Creativity in LLM-based Multi-Agent Systems: A Surveycited by 23
- 2023Beyond Prompts: Exploring the Design Space of Mixed-Initiative Co-Creativity Systemscited by 20
- 2025A Systematic Review of Human-AI Co-Creativitycited by 4
- 2025Human-Centered AI Communication in Co-Creativity: An Initial Framework and Insightscited by 3
- 2023A Controllable Co-Creative Agent for Game System Designcited by 2
- 2025Improving User Experience with FAICO: Towards a Framework for AI Communication in Human-AI Co-Creativitycited by 2
- 2024Beyond Following: Mixing Active Initiative into Computational Creativitycited by 0
- 2025Real-Time Intuitive AI Drawing System for Collaboration: Enhancing Human Creativity through Formal and Contextual Intent Integrationcited by 0
- 2025Real-Time Intuitive AI Drawing System for Collaboration: Enhancing Human Creativity through Formal and Contextual Intent Integration12 Aug 2025
- 2025A Systematic Review of Human-AI Co-Creativity26 Jun 2025
- 2025Creativity in LLM-based Multi-Agent Systems: A Survey27 May 2025
- 2025Human-Centered AI Communication in Co-Creativity: An Initial Framework and Insights23 May 2025
- 2025Improving User Experience with FAICO: Towards a Framework for AI Communication in Human-AI Co-Creativity3 Apr 2025
- 2024Beyond Following: Mixing Active Initiative into Computational Creativity6 Sep 2024
- 2023CALYPSO: LLMs as Dungeon Masters' Assistants15 Aug 2023
- 2023A Controllable Co-Creative Agent for Game System Design4 Aug 2023
- 2023Beyond Prompts: Exploring the Design Space of Mixed-Initiative Co-Creativity Systems3 May 2023