I create systems that use both human and machine computation to solve problems quickly and reliably. I have helped introduce the idea of continuous real-time crowdsourcing, as well as the crowd agent model, which uses groups of workers submitting input simultaneously to create a collective intelligence capable of completing tasks better than any constituent member of the crowd via mediation. My work is supported by the National Science Foundation and a Microsoft Research Graduate Fellowship.
Interests: Crowdsourcing, Human Computation, Human-Computer Interaction, Collective Intelligence, Artificial Intelligence
Chorus: A Crowd-Powered Conversational Assistant (UIST 2013)
Real-time Captioning by Groups of Non-Experts (UIST 2012)
Real-time Crowd Control of Existing Interfaces (UIST 2011)Crowd Memory: Learning in the Collective (CI 2012)
New York Times (April, 2013)
MIT Technology Review (March, 2013)
MIT Technology Review (September, 2012)
Gizmodo (July, 2012)
New Scientist (July, 2012)
New York Times (October, 2011)
- CHI 2014
Toronto, Canada. April 25 - May 2.
- HCOMP 2014
Pittsburgh, PA. November 1 - 5.