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
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