Speaker: Dan Bohus Most research to date on spoken language interaction has focused on supporting dialog with single users in limited domains and contexts. Significant progress in this space has enabled wide-scale deployments of voice-enabled personal assistants. At the same time, important challenges remain largely unaddressed in the realm of physically situated spoken language interaction (e.g., in-car systems, robots in public spaces, ambient assistance). In this talk, I will outline a core set of communicative competencies required for supporting dialog in physically situated settings – such as models of multiparty engagement, turn-taking and interaction planning, and I will present samples of work as part of a broader research agenda in this area. The proposed models and systems harness a diverse set of AI technologies, and throughout the talk I will discuss a number of important opportunities and challenges for developing such integrative AI systems. We evaluate our framework on challenging simulated decision-making problems and on a physical humanoid robot, and we demonstrate that it allows for the efficient and active construction of reusable skills from limited data.