International School of Information Management University of Mysore Special Lecture (6) "Making a better Web Snippet" by Dr. Ed Cutrell Researcher Microsoft Research Redmond, USA Date and Time May 08, 2009: 3:30 PM Venue ISiM Lecture Hall-1 You are cordially invited --------------- Speaker Bio: Dr. Ed. Cutrell is currently a Research Scientist at Microsoft Research in the Adaptive Systems Interaction Focus Group. Cutrell is a cognitive psychologist with a strong background in cognitive neurosciences. In 2000 he joined the Adaptive Systems and Interaction group at Microsoft Research, working to improve the "impedance match" between humans and their technologies. His research consists of the exploration and measurement of human interaction with information technology. Over the years, he has been working on a broad range of HCI topics, ranging from input technologies to visual perception to brain-computer interfaces to intelligent notifications and disruptions. These days he is spending much of his time thinking about information interaction. Abstract of the Talk In this talk, Dr. Ed Cutrell will be describing the work his group has been doing on new ways to represent Web pages for search and re-finding. People regularly interact with a number of different representations of Web pages. A person looking for new information may initially find a Web page represented as a short snippet rendered by a search engine. When s/he wants to return to the same page the next day, the page may instead be represented by a link in his/her browser history. The research is based on asking a few questions: . What is it about Web pages that people actually remember when they want to return to a page? . What is important for finding new information? . How do people explore new or re-visited Web pages? A new compact representation of pages (called "visual snippets") that supports both the identification of new, relevant web pages and the re-finding of previously viewed pages is created and a study exploring how different representations are used in a variety of contexts is carried out. Next, eye-tracking technologies are used to understand how people visually interrogate Web pages. Then, this information is used to build a predictive model of "attentional salience" for Web pages. The research hopes to connect up these models of visual salience to build visual snippets that are informed by these models. Thanks & Regards Angrosh, MA ********************************************* Angrosh M.A. Project Manager International School of Information Management University of Mysore, Manasagangotri Mysore - 570 006 Tel: +91-821-2514699; +91-821-2411417 Fax: +91-821-2519209 Email: angrosh@isim.ac.in ********************************************** -- This message has been scanned for viruses and dangerous content by MailScanner, and is believed to be clean.