How can we scale up human thinking? Despite have more information available at our fingertips than ever before, we are fundamentally limited as individuals in how fast we can turn that information into knowledge, decisions, innovations, and discoveries. In this talk I will discuss ways of augmenting individual cognition through crowds and computation. Our approaches combine the flexibility of many human minds working together with the power of machine learning and visualization. Examples include augmenting human thinking in product innovation (e.g., Quirky); knowledge production (Wikipedia); creative tasks such as writing, journalism and poetry; and in online searching and sensemaking.
Aniket Kittur is an Assistant Professor and holds the Cooper-Siegel Chair in the Human-Computer Interaction Institute at Carnegie Mellon University. His research on crowd-augmented cognition looks at how we can augment the human intellect using crowds and computation. He has authored and co-authored more than 70 peer-reviewed papers, ten of which have received best paper awards or honorable mentions. Dr. Kittur is a Kavli fellow, has received an NSF CAREER award, major research awards from NSF, NIH, Google, and Microsoft, and his work has been reported in venues including Nature News, The Economist, The Wall Street Journal, NPR, Slashdot, and the Chronicle of Higher Education. He received a BA in Psychology and Computer Science at Princeton, and a PhD in Cognitive Psychology from UCLA.