Information Foraging is certainly a good starting point - 
especially if you were already looking at Decision Theoretic 
approaches. There are lots of other papers on information 
foraging, including several that were presented at CHI2001, so 
don't feel obliged to read the really long one to start with!

Alan

> 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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-- 
Alan Blackwell           Computer Laboratory, University of Cambridge
http://www.cl.cam.ac.uk/users/afb21/       Phone: +44 (0) 1223 334418        



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