Understanding Human-Multi-Agent Team Formation for Creative Work
Hyunseung Lim, Dasom Choi, Sooyohn Nam, Bogoan Kim, Hwajung Hong
Abstract
Team-based collaboration is a cornerstone of modern creative work. Recent advances in generative AI open possibilities for humans to collaborate with multiple AI agents in distinct roles to address complex creative workflows. Yet, how to form Human-Multi-Agent Teams (HMATs) is underexplored, especially given that inter-agent interactions increase complexity and the risk of unexpected behaviors. In this exploratory study, we aim to understand how to form HMATs for creative work using CrafTeam, a technology probe that allows users to form and collaborate with their teams. We conducted a study with 12 design practitioners, in which participants iterated through a three-step cycle: forming HMATs, ideating with their teams, and reflecting on their teams' ideation. Our findings reveal that while participants initially attempted autonomous team operations, they ultimately adopted team formations in which they directly orchestrated agents. We discuss design considerations for HMAT formation that humans can effectively orchestrate multiple agents.
• Human-centered computing → Interactive systems and tools.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext f01d8748-9a90-48bb-8514-cadec6f8a049Builds on20
- CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model SocietyGuohao Li, Hasan Hammoud, Hani Itani, Dmitrii Khizbullin et al.NeurIPS 2023 · 1,975 citations
- Generative Agents: Interactive Simulacra of Human BehaviorJoon Sung Park, Joseph C. O'Brien, Carrie Jun Cai, Meredith Ringel Morris et al.UIST 2023 · 1,882 citations
- AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent BehaviorsWeize Chen, Yusheng Su, Jingwei Zuo, Cheng Yang et al.ICLR 2024 · 594 citations
- "An Ideal Human": Expectations of AI Teammates in Human-AI TeamingRui Zhang, Nathan J. McNeese, Guo Freeman, Geoff MusickCSCW 2020 · 222 citations
- Robots in Groups and Teams: A Literature ReviewSarah Sebo, Brett Stoll, Brian Scassellati, Malte F. JungCSCW 2020 · 152 citations
Related papers
- Exploring the Impact of AI-powered Creativity Support Tools on Professional Creative WorkflowsCaterina Moruzzi, Charlotte Bird, Laura Mariah HermanCSCW 2026
- Prototyping with Prompts: Emerging Approaches and Challenges in Generative AI Design for Collaborative Software TeamsHari Subramonyam, Divy Thakkar, Andrew Ku, Jürgen Dieber et al.CHI 2025 · 26 citations
- A Potential Teammate?: Understanding How Indie Game Developers Approach Generative AI's Involvement in Their Small-Scale Creative TeamworkRuchi Panchanadikar, Guo FreemanCHI 2026 · 1 citation
- Exploring Collaborative GenAI Agents in Synchronous Group Settings: Eliciting Team Perceptions and Design Considerations for the Future of WorkJanet G. Johnson, Macarena Peralta, Mansanjam Kaur, Ruijie Sophia Huang et al.CSCW 2025 · 16 citations
- CREA: A Collaborative Multi-Agent Framework for Creative Image Editing and GenerationKavana Venkatesh, Connor Dunlop, Pinar YanardagNeurIPS 2025 · 18 citations
