[4eyes] Fwd: CS Colloquium: November 17, 2010: Peter Pirolli (NOTE: talk is from 2-3pm)

[Tobias Hollerer]

Peter Pirolli 
(http://web.mac.com/peter.pirolli/Professional/About_Me.html),
a well-known researcher in Computational Psychology (and pioneer in 
Information
Foraging theory) is working with Ambuj, Xifeng, and myself on 
Information Network
Science. He and his colleague Bongwon Suh from PARC are visiting tomorrow.
Don't miss their talk:

-------- Original Message --------
Subject: 	[FACULTY] CS Colloquium: November 17, 2010: Peter Pirolli 
(NOTE: talk is from 2-3pm)
Date: 	Mon, 15 Nov 2010 15:17:20 -0800
From: 	Tiffany Sabado <sabado at cs.ucsb.edu>
To: 	Typical faculty <faculty at cs.ucsb.edu>, grads at cs.ucsb.edu, 
office at cs.ucsb.edu, research at lists.cs.ucsb.edu, colloquia at lists.cs.ucsb.edu



UCSB COMPUTER SCIENCE DEPARTMENT PRESENTS:

Wednesday, November 17, 2010
2:00 PM – 3:00 PM
Computer Science Conference Room, Harold Frank Hall Rm. 1132

HOST: Tobias Hollerer

SPEAKER: Peter Pirolli
Palo Alto Research Center

Title: Social Information Foraging and Sensemaking

Abstract:

Information Foraging Theory is a theory of human-information interaction
that aims to explain and predict how people will best shape themselves
to their information environments, and how information environments can
best be shaped to people. The approach involves a kind of reverse
engineering in which the theorist asks (a) what is the nature of the
task and information environments, (b) why is a given system a good
solution to the problem, and (c) how is that “ideal” solution realized
(approximated) by mechanism. Typically, the key steps in developing a
model of information foraging involve: (a) a rational analysis of the
task and information environment (often drawing on optimal foraging
theory from biology) and (b) a computational production system model of
the cognitive structure of task. I will briefly review work on
individual information seeking, and then focus on how this work is being
expanded to studies of information production and sensemaking in
technology-mediated social systems such as wikis, social tagging, social
network sites, and twitter. I will also discuss recent work on
integrating information network and social network analysis to identify
credible sources of information in twitter.

Bio:

Peter Pirolli is a Research Fellow in the Augmented Social Cognition
Area at the Palo Alto Research Center (PARC), where he has been pursuing
studies of human information interaction since 1991. Prior to joining
PARC, he was an Associate Professor in the School of Education at UC
Berkeley. Pirolli received his doctorate in cognitive psychology from
Carnegie Mellon University in 1985. He is an elected Fellow of the
American Association for the Advancement of Science, the Association for
Psychological Science, the National Academy of Education, and the ACM
Computer-Human Interaction Academy.


-- 
Tiffany Sabado
Assistant to the Chair
Computer Science Department
Phone (805) 893-2207
Fax (805) 893-8553

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