Augmenting Collaborative Problem-Solving: Exploring the Design and Use of GenAI for Groupwork
Complex problem-solving and creative work in the real world are rarely individual endeavors and typically unfold within teams and group settings. While advancements in generative artificial intelligence (GenAI) have shown promise in augmenting creativity and productivity, these tools are primarily designed for individual use and overlook group dynamics and the collaborative aspects of teamwork. This workshop will provide a platform for researchers and practitioners to explore the design of future human-AI groups across four key themes: (1) the role of GenAI in group settings, (2) collaborative and multimodal interactions with GenAI, (3) evaluating GenAI’s influence within groups and designing for appropriate reliance, and (4) evolving group practices in the presence of GenAI. We hope to build a community and construct alignment across participants around how to pursue research that understands how GenAI can augment, undermine, or bring new practices to collaborative settings and groupwork.
Authors
- Michael Nebeling (ORCID: https://orcid.org/0000-0003-3743-2387)
- Jens Emil Sloth Grønbæk (ORCID: https://orcid.org/0000-0002-9566-7195)
- Steven Rick (ORCID: https://orcid.org/0000-0001-9739-316X)
- Janet Johnson (ORCID: https://orcid.org/0000-0002-0456-4028)
- Mark S. Ackerman (ORCID: https://orcid.org/0000-0001-9727-1664)
- Ming Yin (ORCID: https://orcid.org/0000-0002-7364-139X)
- Thomas W. Malone
- Emily Wong
- Mark Klein (ORCID: https://orcid.org/0000-0002-8448-5900)
Institutions
- The University of Sydney (AU)
- The University of Melbourne (AU)
- Aarhus University (DK)
- Purdue University West Lafayette (US)
- University of Michigan (US)
- Université Mohammed VI Polytechnique (MA)
- Massachusetts Institute of Technology (US)
Publication Details
- Published
- 2025-10-17
- DOI
- https://doi.org/10.1145/3715070.3748297
- Primary Topic
- Team Dynamics and Performance
- Type
- article
- Field-Weighted Citation Impact
- 0.00