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CHAI-DT: A Framework for Prompting Conversational Generative AI Agents to Actively Participate in Co-Creation

arXiv 2305.03852 ↗First posted 5 May 2023cs.HC cs.AIcited by 0

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Abstract (arXiv)

This paper explores the potential for utilizing generative AI models in group-focused co-creative frameworks to enhance problem solving and ideation in business innovation and co-creation contexts, and proposes a novel prompting technique for conversational generative AI agents which employ methods inspired by traditional 'human-to-human' facilitation and instruction to enable active contribution to Design Thinking, a co-creative framework. Through experiments using this prompting technique, we gather evidence that conversational generative transformers (i.e. ChatGPT) have the capability to contribute context-specific, useful, and creative input into Design Thinking activities. We also discuss the potential benefits, limitations, and risks associated with using generative AI models in co-creative ideation and provide recommendations for future research.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 10 references that are in the map. First posted on arXiv 5 May 2023.

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References · 2

  1. 2021Nine Potential Pitfalls when Designing Human-AI Co-Creative Systemscited by 12
  2. 2023Conversational AI-Powered Design: ChatGPT as Designer, User, and Productcited by 8

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