"When to Hand Off, When to Work Together": Understanding Concurrent Human-Agent Interaction in Shared Co-Creative Workspaces
Not on the map. Why?
Abstract (arXiv)
Shared co-creative workspaces allow users to contribute while agents execute. Yet how users adjust their participation as their work and the agent's execution shape one another remains less understood. We conducted two design probe studies with professional designers. In Study 1 (N=10), participants identified opportunities to contribute by observing the agent's progress, but avoided intervention when the agent misinterpreted their edits. Therefore, we developed CLEO, a second probe that tracks user actions and selectively updates its plan. In Study 2 (N=12), we analyzed 255 interaction turns and stimulated recall interviews, identifying five action categories, ten codes, six triggers, and four enabling factors. Participants engaged in concurrent interaction during 33.73% of turns, expressing newly recognized design ideas or preferences through edits and changing the division of work by completing pending subtasks or independently developing copies of unfinished outputs. We present a decision model and five design implications for concurrent human-agent collaboration.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 32 of its 80 references that are in the map. First posted on arXiv 2 Mar 2026.
Builds on
32 of 80 references.
References · 32
- 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
- 2023Toolformer: Language Models Can Teach Themselves to Use Toolscited by 4,072
- 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,500
- 2023Mind2Web: Towards a Generalist Agent for the Webcited by 1,210
- 2024Understanding the planning of LLM agents: A surveycited by 414
- 2024Data Interpreter: An LLM Agent For Data Sciencecited by 222
- 2025Magma: A Foundation Model for Multimodal AI Agentscited by 138
- 2024Homogenization Effects of Large Language Models on Human Creative Ideationcited by 127
- 2025Interactive Debugging and Steering of Multi-Agent AI Systemscited by 68
- 2024Collaborative Gym: A Framework for Enabling and Evaluating Human-Agent Collaborationcited by 60
- 2025Plan-Then-Execute: An Empirical Study of User Trust and Team Performance When Using LLM Agents As A Daily Assistantcited by 54
- 2024Proposer-Agent-Evaluator(PAE): Autonomous Skill Discovery For Foundation Model Internet Agentscited by 50
20 more
- 2025Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AIcited by 39
- 2024WaitGPT: Monitoring and Steering Conversational LLM Agent in Data Analysis with On-the-Fly Code Visualizationcited by 38
- 2024Cocoa: Co-Planning and Co-Execution with AI Agentscited by 38
- 2024The Effects of Generative AI on Design Fixation and Divergent Thinkingcited by 37
- 2025CowPilot: A Framework for Autonomous and Human-Agent Collaborative Web Navigationcited by 35
- 2025Assistance or Disruption? Exploring and Evaluating the Design and Trade-offs of Proactive AI Programming Supportcited by 33
- 2024Understanding Nonlinear Collaboration between Human and AI Agents: A Co-design Framework for Creative Designcited by 22
- 2025Morae: Proactively Pausing UI Agents for User Choicescited by 18
- 2024Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agentscited by 13
- 2025From Conversation to Orchestration: HCI Challenges and Opportunities in Interactive Multi-Agentic Systemscited by 9
- 2025Just-In-Time Objectives: A General Approach for Specialized AI Interactionscited by 7
- 2026Developer Interaction Patterns with Proactive AI: A Five-Day Field Studycited by 7
- 2026Mapping the Design Space of User Experience for Computer Use Agentscited by 7
- 2025Do It For Me vs. Do It With Me: Investigating User Perceptions of Different Paradigms of Automation in Copilots for Feature-Rich Softwarecited by 5
- 2025Collaborative Document Editing with Multiple Users and AI Agentscited by 5
- 2026Modeling Distinct Human Interaction in Web Agentscited by 5
- 2025Orca: Browsing at Scale Through User-Driven and AI-Facilitated Orchestration Across Malleable Webpagescited by 4
- 2025FlowForge: Guiding the Creation of Multi-agent Workflows with Design Space Visualization as a Thinking Scaffoldcited by 3
- 2025DuetUI: A Bidirectional Context Loop for Human-Agent Co-Generation of Task-Oriented Interfacescited by 3
- 2025Artographer: a Curatorial Interface for Art Space Explorationcited by 1
Built on by
Citing papers per year: 2026: 1.
1 paper.