Title: Towards a Universal Knowledge Accelerator
Speaker: Aniket Kittur HCI Institute, Carnegie Mellon University
Location: UTA 5.522 (1616 Guadalupe St., 5th Floor)
Whether deciding what to do after a cancer diagnosis or finding analogical inspirations across academic fields, turning the explosion of online information into intelligent decisions and creative innovation is taking up 1/10th of all labor hours because each person has to start from scratch. In this talk I discuss our efforts towards building a universal knowledge accelerator: a system in which the sensemaking people engage in online is captured and made useful for others, leading to virtuous cycles of constantly improving information sources that in turn help people more effectively synthesize and innovate. Realizing this requires simultaneously addressing three tightly interrelated levels of constraints: at the individual level in understanding and capturing higher order cognition; at the computational levelin developing new interaction systems and AI partners for human cognition; and at the social level in developing complex and creative crowdsourcing and social computing systems. I will discuss our efforts over the past 10 years toscaffold a universal knowledge accelerator across a variety of domains ranging from Wikipedia to crowdsourcing to mobile web search, and ongoing efforts to enable it to accelerate deep analogical search and creativity.
Aniket Kittur is an Associate Professor and holds the Cooper-Siegel Chair in the Human-Computer Interaction Institute at Carnegie Mellon University. His research 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, 14 of which have received best paper awards or honorable mentions. Dr. Kittur is aKavli fellow, has received an NSF CAREER award, the Allen Newell Award for Research Excellence, major research grants from NSF, NIH, Google, and Microsoft, andhis 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.
1:15pm to 2:30pm