Dan Bohus

Microsoft Research
One Microsoft Way
Redmond, WA, 98052

research agenda
My work centers on the study and development of computational models for physically situated spoken language interaction and collaboration. The long term question that shapes my research agenda is how can we enable interactive systems to reason more deeply about their surroundings and seamlessly participate in open-world, multiparty dialog and collaboration with people?

Physically situated interaction hinges critically on the ability to reason about and model processes like conversational engagement, turn-taking, grounding, interaction planning and action coordination. Creating robust solutions that operate in the real-world brings to the fore broader AI challenges. Example questions include issues of representation (e.g. what are useful formalisms for creating actionable, robust models for multiparty interaction), machine learning methods for multimodal inference from streaming sensory data, predictive modeling, decision making and planning under uncertainty and temporal constraints, etc.

Nov'14: I attended ICMI'2014, and gave an invited keynote presentation at the co-located The 7th Workshop on Eye Gaze in Intelligent Human Machine Interaction.
Sep'14: Zhou Yu started as an intern with Eric Horvitz and myself. Looking forward to a fun and productive fall!
Aug'14: With Sean Andrist, Bilge Multu, David Schlangen and Eric Horvitz, I am organizing a AAAI Spring Symposium on Turn-Taking and Coordination in Human-Computer Interaction
Aug'14: Two papers, one on generating hesitations based on forecasting models and one on communicating about uncertainty in embodied agents were recently accepted for presentation at ICMI'2014.
Aug'14: We have deployed a 3rd Directions Robot, on the 4th floor in Building 99. Full coverage!
May'14: I am co-organizing the ICMI'14 workshop on Understanding and Modeling Multiparty, Multimodal Interactions.
Apr'14: A piece on our research featured on Engadget.
Situated interaction project overview
Sep'14: Video highlighting work on communicating about uncertainty in embodied agents
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