AI-Assisted Coordination of Human Teams in Situated Tasks
Effective teamwork is crucial in high-stakes domains, yet it is highly challenging to achieve. Team members often must make decisions with limited information and under constraints on communication and time. Recognizing both the value of human coaches as well as the challenges of integrating them into practical settings, we envision AI-based coaching agents to enhance team coordination and performance. This extended abstract introduces AI Coaches and Coordinators, highlights key research questions from both human and AI perspectives that must be addressed to realize them, and summarizes our recent work in developing algorithms and systems to bring AI Coaches and Coordinators to fruition.
Authors
- Vaibhav Unhelkar (ORCID: https://orcid.org/0000-0002-4530-189X)
- Sangwon Seo (ORCID: https://orcid.org/0000-0003-2281-9167)
- Zhiqin Qian (ORCID: https://orcid.org/0009-0009-1789-7348)
Institutions
- Rice University (US)
Publication Details
- Journal
- Proceedings of the AAAI Symposium Series
- Published
- 2025-05-28
- DOI
- https://doi.org/10.1609/aaaiss.v5i1.35570
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- Rice University
- Army Research Office