When Teams Embrace AI: Human Collaboration Strategies in Generative Prompting in a Creative Design Task
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Abstract (arXiv)
Studies of Generative AI (GenAI)-assisted creative workflows have focused on individuals overcoming challenges of prompting to produce what they envisioned. When designers work in teams, how do collaboration and prompting influence each other, and how do users perceive generative AI and their collaborators during the co-prompting process? We engaged students with design or performance backgrounds, and little exposure to GenAI, to work in pairs with GenAI to create stage designs based on a creative theme. We found two patterns of collaborative prompting focused on generating story descriptions first, or visual imagery first. GenAI tools helped participants build consensus in the task, and allowed for discussion of the prompting strategies. Participants perceived GenAI as efficient tools rather than true collaborators, suggesting that human partners reduced the reliance on their use. This work highlights the importance of human-human collaboration when working with GenAI tools, suggesting systems that take advantage of shared human expertise in the prompting process.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). First posted on arXiv 26 Sep 2025.
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Citing papers per year: 2025: 1; 2026: 7.
8 papers.
- 2025AnimAgents: Coordinating Multi-Stage Animation Pre-Production with Human-Multi-Agent Collaborationcited by 1
- 2026"Not Human, Funnier": How Machine Identity Shapes Humor Perception in Online AI Stand-up Comedycited by 0
- 2026AI in the Workplace: The Impact of AI on Perceived Job Decency and Meaningfulnesscited by 0
- 2026The New Social Image: How AI Competency and AI Proactivity Influence Self- and Peer-Perceptions in the Workplacecited by 0
- 2026Man, Machine, and Masterpiece: Artistic Ownership in the AI Eracited by 0
- 2026"Nobody Did This": Contribution, Originality, and Accountability in Agent-Mediated Collaborationcited by 0
- 2026From Style Replication to Style Exploration: Enabling Art Style Exploration with Analyze-Experiment-Resituate Frameworkcited by 0
- 2026MOONWALK: Mediating Operations with Intent-Evidence-Action Alignment Across Junior-Supervisor Review Workflows in Animation/VFX Pre-Productioncited by 0
- 2026MOONWALK: Mediating Operations with Intent-Evidence-Action Alignment Across Junior-Supervisor Review Workflows in Animation/VFX Pre-Production9 Sep 2026
- 2026From Style Replication to Style Exploration: Enabling Art Style Exploration with Analyze-Experiment-Resituate Framework14 Aug 2026
- 2026"Nobody Did This": Contribution, Originality, and Accountability in Agent-Mediated Collaboration29 Jul 2026
- 2026Man, Machine, and Masterpiece: Artistic Ownership in the AI Era16 Jul 2026
- 2026The New Social Image: How AI Competency and AI Proactivity Influence Self- and Peer-Perceptions in the Workplace29 May 2026
- 2026AI in the Workplace: The Impact of AI on Perceived Job Decency and Meaningfulness27 May 2026
- 2026"Not Human, Funnier": How Machine Identity Shapes Humor Perception in Online AI Stand-up Comedy13 Feb 2026
- 2025AnimAgents: Coordinating Multi-Stage Animation Pre-Production with Human-Multi-Agent Collaboration22 Nov 2025