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"ACM SIGCHI General Interest Announcements (Mailing List)" <[log in to unmask]>
Daniel Russell <[log in to unmask]>
Mon, 10 Nov 2008 09:41:28 -0800
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Daniel Russell <[log in to unmask]>
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*Call for papers:*  Special Issue on Sensemaking

*Journal: * Human-Computer Interaction

*Special Issue Editors:**  *   Peter Pirolli, *Palo Alto Research Center**
*                                      Daniel M. Russell, *Google***

The purpose of this special issue to provide an integrative survey and
definition of the topic of sensemaking, as well as exemplary papers
representing mature research spanning theory, empirical research, and

Making sense of the world using information technology has become a
ubiquitous activity in the digital era. Sensemaking is a natural kind of
human activity in which large amounts of information about a situation or
topic are collected and deliberated upon to form an understanding that
becomes the basis for problem solving and action. It goes beyond simply
finding information. It is also involved in learning about new domains,
solving ill-structured problems, acquiring situation awareness, and
participating in social exchanges of knowledge. Sensemaking involves
collecting, organizing and creating representations of complex information
sets, all centered on the formation and support of mental models involved in
understanding a problem that needs to be solved. Examples of such problems
include understanding a health problem to make a medical decision,
understanding the weather to make a forecast, intelligence analysis to
identify strategic threats, and the collaborative collection and
understanding of an emergency by first responders. Seminal papers on this
topic emerged quasi-independently in the fields of human-computer
interaction (Russell, Stefik, Pirolli, & Card, 1993), organizational science
(Weick, 1995), and cognitive science (Klein, Moon, and Hoffman, 2006). This
special issue is focused specifically on advances in sensemaking research
that have implications for human-computer interaction.

We invite papers that report on mature research in the following areas:

         Sensemaking by individuals

         Collaborative sensemaking

         Novel interaction techniques, tools, and systems to support

         Theories, models, and metrics of sensemaking

We will prefer papers that (a) emphasize empirical research on ecologically
valid sensemaking activities that has clear implications for future human
computer interaction research, (b) describe well-motivated and tested
designs and techniques for sensemaking, or (c) provide novel theory and
models to serve as a scientific and engineering basis for the area.

Special Issue Schedule

*   **General Call for submissions:    November, 2008*

*   Deadline for initial submissions:    February 6, 2009*

*   Review results returned to authors:    June 19, 2009*

*   Deadline for revised submissions:    August 14, 2009*

*   Second review results returned to authors:   October 31, 2009*

*   Deadline for final submissions:    November 28, 2009*

How to Submit to the Special Issue

By February 6, 2009, authors should send an electronic submission (MS Word
or PDF format) by email attachment to the *Human-Computer
Interaction*Administrative Editor: Patricia Sheehan <
[log in to unmask]>

Information about submissions to *Human-Computer Interaction* can be found
at the journal's web site,, under the Instructions
for Authors tab).

A PDF form of this CFP can be found


Klein, G., Moon, B. and Hoffman, R.F. (2006). Making sense of sensemaking 2:
A macrocognitive model. *IEEE Intelligent Systems*, 21(5), 88-92

Russell, D.M., Stefik, M.J., Pirolli, P., & Card, S.K. (1993). The cost
structure of sensemaking.  In the *Proceedings of InterCHI '93* (pp.
269-276). Amsterdam: Association for Computing Machinery.

Weick, K (1995). *Sensemaking in Organizations*. Thousand Oaks, CA: Sage.

First Steps

If you're interested in submitting a paper for consideration, please drop
Dan & Peter an email letting us know of your interest.
([log in to unmask],  [log in to unmask])

Daniel M. Russell
Google Search Quality & User Happiness

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