Event Maps: A Collaborative Calendaring System for Navigating Large-Scale Events

Speaker
Jingtao Wang
Assistant Professor in Computer Science and LRDC, University of Pittsburgh
When
-
Where
Newell-Simon Hall 1305 (Michael Mauldin Auditorium)
Video
Video link
Description
Event Maps is a novel, rich and interactive web-based system targeted at improving the experience of attending and organizing large, multi-track conferences. Through its zoomable Tabular Timeline, users can navigate the conference schedule, seamlessly moving between global and local views. Through a compact decoration widget named Active Corners, Event Maps enables contextual asynchronous collaboration before, during, and after the conference. Organizers can easily create or import conference schedules via a backend interface, and also use the provided analytic toolkits to get insights from visiting patterns and statistics. Event Maps has been adopted by real world conferences such as IEEE SCC 2009, Lotusphere 2010, ACM CHI 2010 and IEEE ICIA 2010.
This is joint work with Chandra Narayanaswami, Danny Soroker and others under the support of IBM T.J. Watson Research Center.
Speaker's Bio
Jingtao Wang is an assistant professor in computer science and LRDC at the University of Pittsburgh. His primary research direction is Human-Computer Interaction (HCI). Jingtao’s current research interests include mobile interfaces, education/learning technology, social computing, machine learning and its applications in HCI, novel input and interaction techniques, and online handwriting/gesture recognition algorithms. He received his Ph.D. degree in computer science from the University of California, Berkeley. Before that, Jingtao was a researcher and team lead at the IBM China Research Lab, working on large-vocabulary, online handwriting recognition technologies for Asian languages. He received his Master degree and Bachelor degree in Electrical and Computer Engineering both from Xi'an Jiaotong University, China
Host
Matthew Kam