Principles and Applications of Complementary Computing

Sunday, 16 February 2014
Regency A (Hyatt Regency Chicago)
Eric Horvitz , Microsoft Research, Redmond, WA
I will describe several examples of collaborative problem-solving between people and computing systems that demonstrate how we can leverage the complementarity of humans and machines in tackling challenging problems.  I will present on methods that employ machine learning and decision making to couple the complementary intellect of machines and people, studies of techniques that enable a dialog between people and machines in interactive machine learning, directions with modeling human surprise, and efforts to guide the display of information in time-critical settings.