Aniket Kittur, Carnegie Mellon University
Despite the growing availability of information online, individual human cognition is fundamentally limited in the speed and amount of information it can process at once. In this talk I will discuss ways of augmenting individual cognition by taking advantage of crowds and computation. Our approaches combine the flexibility of many human minds working together with the raw power of computational systems to accelerate learning, innovation, knowledge production, and scientific discovery. I will discuss several novel crowdsourcing, machine learning and visualization systems that augment the uniquely human abilities of analogy, schema induction, and problem solving. Examples include augmenting human thinking in product innovation (e.g., Quirky); knowledge production (Wikipedia); creative tasks such as writing, journalism and poetry; and making sense of multivariate and graph data.
Background Review Article:
Kittur, A., Nickerson, J.V., Bernstein, M.S., Gerber, E.M., Shaw, A., Zimmerman, J., Lease, M., Horton, J.J. (2013). The future of crowd work. CSCW 2013: Proceedings of the ACM Conference on Computer-Supported Cooperative Work. New York: ACM Press