Thursday February 17 4:00 - 4:50 PM Covell 216 John Canny Paul and Stacy Jacobs Distinguished Professor of Engineering UC Berkeley Computer Science and Berkeley Institute of Design
A New View of Collaboration Knowledge work is intensely collaborative, and computers have an increasing role in mediating collaboration. This talk covers three projects on collaborative technologies at the Berkeley Institute of design. The first is "Multiview" which is the first practical video-conferencing system to provide spatial faithfulness between *groups* of participants working together. In particular it is the first to preserve gaze and gesture cues between two collaborating groups. The second project is "Livenotes" which supports live, collaborative note-taking in *small* groups of students in a live lecture. Livenotes seeks to re-create the a small- class experience for students in very large classes. Both Multiview and Livenotes will appear at the CHI conference here in April. The third project is "ABC" or Activity- Based Computing. ABC is really a meta-project with many application threads. We start with fine-grained user log data from normal desktop and laptop computer use. From this we extract patterns of "Activity" which include the various ad-hoc projects that people work on. We believe that this activity information is a large part of the understood "context" between people that computers have traditionally lacked. The applications we are working on include pro-active document sharing, access control, pro-active retrieval, command predication and disambiguation, and attention management. I'll describe some early results on the public Enron email dataset. I will briefly describe our work on cryptographic methods to protect the privacy of user data even as it is being mined. Biography John Canny is the Paul and Stacy Jacobs Distinguished Professor of Engineering. His research is in human-computer interaction, with an emphasis on modeling methods (usually probabilistic) and privacy approaches using cryptography. He received his Ph.D. in 1987 at the MIT AI Lab. His dissertation on Robot Motion Planning received the ACM dissertation award. He received a Packard Foundation Faculty Fellowship and a Presidential Young Investigator Award. His peer-reviewed publications span robotics, computational geometry, physical simulation, computational algebra, theory and algorithms, information retrieval, HCI and CSCW and cryptography. He has best-paper prizes in IEEE FOCS, ECAI (European AI Conference) and AAAI. _______________________________________________ Colloquium mailing list [email protected] https://secure.engr.oregonstate.edu/mailman/listinfo/colloquium
