ISiM Special Lecture Series (6) by Dr. Ed Cutrell- 8th May, 2009
#1
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
Roopa Gurav
International School of Information Management
University of Mysore
Mysore- 570006
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