About The Workshop
The recent emergence of Large Language Model (LLM) agents enables the construction of intelligent systems that become genuine collaborators with humans through mutual partnership. These AI agents can sustain open-ended natural dialogue, exhibit reasoning and planning, and even evoke social or moral responses from users through role-playing. Nevertheless, current intelligent systems lack critical characteristics of effective collaboration between humans, such as mutual awareness, adaptivity, and shared accountability. Without these qualities, interactions between humans and systems can be brittle, error-prone, and the potential for synergistic collaboration remains unrealized.
This workshop establishes a research agenda for this new era. We propose a novel human-AI interaction design philosophy: to design and study LLM agents as remote human collaborators. This analogy grounds human-agent collaboration in decades of CSCW research on distributed teamwork. Humans communicate and coordinate through lean channels, lack shared physical context, and must rely on explicit signals to maintain common ground, which is analogous to how humans interact with LLM agents.
Our goal is to create a shared vocabulary and a research agenda that is both grounded in foundational knowledge and visionary about future possibilities. Our objectives include:
- Establish the "agent as a remote collaborator" analogy as a bounded but powerful heuristic for research.
- Assess the applicability of the core CSCW theories to emerging human-agent contexts.
- Identify and ideate novel interaction paradigms that extend beyond traditional human-human models.
- Integrate considerations of risks (security, privacy, trust miscalibration) into the design space of human-agent collaboration.
- Develop a community-driven research agenda that is suitable for the future of human-agent collaboration studies.
Call For Papers
Recent advances in Large Language Model (LLM) agents open up possibilities for moving intelligent systems beyond tools toward mutual partnerships with humans. These agents can engage in fluid natural language dialogue, exhibit role-playing behaviors, and demonstrate reasoning and planning capabilities. Still, they lack critical characteristics of effective collaboration between humans, such as mutual awareness, adaptivity, and shared accountability, which could introduce risks such as misaligned autonomy, hallucinations, privacy and security vulnerabilities, and over-anthropomorphization.
This workshop calls on the broad HCI, CSCW, AI, and related communities to critically and creatively explore new paradigms of human–agent partnership. We invite contributions that draw on the rich history of technology-mediated remote human collaboration while also envisioning novel forms of mixed-initiative, multi-party, and asynchronous collaboration with AI agents.
Key Dates
- Submission Deadline: February 12, 2026, AoE
- Notification Date: February 28, 2026, AoE
- Workshop Date: TBD
Topics of Interest
Topics of interest include, but are not limited to:
- Applying and extending CSCW/HCI theories (e.g., common ground, workspace awareness, articulation work) to human–agent interaction
- Empirical studies of human–agent collaboration (e.g., trust calibration, coordination, failure recovery)
- Novel design paradigms for human–agent collaboration, including mixed-initiative workflows, coordination strategies, and asynchronous delegation
- Interface and interaction designs that make agents’ goals, actions, and limitations transparent to human partners
- Risks, challenges, and safeguards for collaboration (e.g., security, privacy, safety, misaligned autonomy)
- Critical perspectives on anthropomorphization, social accountability, and the ethics of agentic systems
We welcome 2–4 page submissions (ACM single-column format), including research articles, survey papers, and position papers that present original ideas, empirical studies, or design visions.
Submissions exceeding the page limit will be desk rejected.
Submission Guidelines
Submission Site
Submissions will be managed via Openreview (link available soon). Papers will remain private during the review process. All authors must maintain up-to-date Openreview profiles to ensure proper conflict-of-interest management during the review process.
Formatting Requirements
Submissions must be in English and follow the ACM Master Article Submission Templates (single column).Review Process
Submissions will undergo a lightweight, anonymous review, focusing on the quality of ideas and diversity of perspectives. Accepted papers will be published online on the workshop website.Speakers and Panelists
To be confirmed soon.
Schedule
Tentative workshop schedule. All talks include a Q&A session.
Opening Remarks
Keynote
Speaker to be confirmed soon.Panel Discussion
Dakuo Wang, Toby Jiajun Li, April Wang (tentative)Featured Lightning Talk
Coffee Break
Concurrent with poster sessionExploratory Dessign Session 1
Exploratory Dessign Session 2
Group Presentations, Synthesis, and Closing
Organizers
This workshop is organized by
FAQ
To be added soon.