Hi Bjorn,

There is an interesting-looking paper I just dug up last night
that I'd forgot I had (thus I haven't read it yet) called
"Information Foraging" by Peter Pirolli and Stuart K. Card.
I recognize the latter from Information Visualization stuff.

The first sentence from the abstract is:

"Information Foraging Theory is an approach to understanding
how strategies and technologies for information seeking, gath-
ering, and consuption are adapted to the flux of information
in the environment."

It's chunky, at 84 pages, with some math too, so hopefully
it is applicable.

I could not find Card's web page, but here is Pirolli's and
another link where you can find the report:

http://www2.parc.com/istl/members/pirolli/pirolli.html

http://www2.parc.com/istl/groups/uir/publications/index.html

Good luck!

/Chuck

-----Original Message-----
From: Bjorn Reese [mailto:[EMAIL PROTECTED]]
Sent: Thursday, July 04, 2002 9:41 AM
To: [EMAIL PROTECTED]
Subject: PPIG discuss: Searching for search strategies


[ Sorry, I could not resist the meta-level subject line. ]

I am looking for references about how humans collect information,
especially when starting from (near-)scratch. That is, how do we
determine where to look, how do we look, and how do we evaluate the
relevance of the information.

So far, I have mainly been looking at the Decision-Making literature,
but they generally assume that you use the available information to
search for a solution. I am more interested in how the information
is obtained.

To put this request into context, I am investigating the possibility
of a more rigid foundation for debugging techniques than today's ad
hoc approaches.

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