About The Workshop
The recent emergence of Large Language Model (LLM) agents sheds light on the construction of intelligent systems that become genuine collaborators of 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 humans. Nevertheless, current intelligent systems lack critical characteristics of effective collaboration, such as mutual awareness, mixed-initiative interactions, and shared accountability. Without these qualities, interactions between humans and systems can be brittle, error-prone, and synergistic collaboration remains unrealized.
In this workshop, we propose a novel human-AI interaction design philosophy: to design and study LLM agents as remote collaborators. Grounded in decades of CSCW research on distributed teamwork, remote 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.
Call For Participation
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.
Our objectives include:- Establish "agents as remote collaborators" analogy as a bounded but powerful research heuristic.
- 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/human-AI collaboration.
- 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.
Participation Options
Our workshop offers two ways to participate:- Position paper (traditional submission-based participation), instructions are provided below.
- Participatory form (non-paper participation). Participants may instead submit a participatory form that describes their background, motivation, perspective, and what they hope to contribute or learn. These submissions are also reviewed for discussion value and fit, but acceptance is contingent on available capacity.
Key Dates
All deadlines follow the Anywhere on Earth (AoE) timezone.- Submission Deadline: February 15, 2026, AoE
- Notification Date: February 25, 2026, AoE
- Workshop Date: TBD
Call for Papers
We welcome 2–4 page submissions (ACM single-column format, reference does not count toward page limit), including research articles, survey papers, and position papers that present original ideas, empirical studies, or design visions. 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 human-agent collaboration (e.g., security, privacy, safety, misaligned autonomy)
- Critical perspectives on anthropomorphization, social accountability, and ethics of agentic systems
Submission Site
Submissions will be managed via OpenReview. Submissions will undergo a lightweight review, focusing on the quality of ideas and diversity of perspectives.
Formatting Requirements
Submissions must follow the ACM Master Article Submission Templates (single column).
Accepted Papers
Accepted papers will be published online on the workshop website. A poster session will be hosted, concurrent with the coffee break, that allow authors of accepted papers to share their work. Selected papers will be invited for a lightning talk during the workshop.
Selected position papers will be compiled into a digital proceedings volume. We are exploring the opportunity to publish the workshop proceedings in the ACM Digital Library (alternatives include established open-access platform such as arXiv.org or CEUR-WS.org).
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.