CHI-ANNOUNCEMENTS Archives

ACM SIGCHI General Interest Announcements (Mailing List)

CHI-ANNOUNCEMENTS@LISTSERV.ACM.ORG

Options: Use Forum View

Use Monospaced Font
Show Text Part by Default
Condense Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Content-Type:
text/plain; charset=windows-1252
Date:
Fri, 18 Mar 2011 11:33:58 +0000
Reply-To:
Stephann Makri <[log in to unmask]>
Subject:
MIME-Version:
1.0
Message-ID:
Content-Transfer-Encoding:
quoted-printable
Sender:
"ACM SIGCHI General Interest Announcements (Mailing List)" <[log in to unmask]>
From:
Stephann Makri <[log in to unmask]>
Parts/Attachments:
text/plain (106 lines)
---------------------------------------------------------------------------------------------------------------
Extended Deadline - Call for Papers: Special issue of 'Information
Research' on “Information by Chance: Opportunistic Discovery of
Information”
---------------------------------------------------------------------------------------------------------------

To be published in September 2011,  Extended submission deadline: May 31, 2011.

Guest Editors:
Dr. Sanda Erdelez, School of Information Science and Learning
Technologies, University of Missouri, USA ([log in to unmask])
Dr. Stephann Makri, UCL Interaction Centre, University College London,
UK ([log in to unmask])

Much existing information research has focused on information-seeking
(i.e., actively looking for information, usually facilitated by
searching or browsing activities). However, there are many situations
where we discover information that we were not actively seeking at the
time; for example, we might stumble upon an article that is useful to
our research that has been left on the photocopier by one of our
colleagues, or come across a web page that is relevant to one of our
interests whilst searching the web for a different topic entirely.
These are examples of the Opportunistic Discovery of Information where
information is discovered accidentally, fortuitously, unintentionally
and/or unexpectedly – often resulting in a beneficial outcome. Related
concepts include information encountering, accidental acquisition of
information, incidental finding of information, and serendipitous
information discovery.

In recent years researchers in library and information science,
human-computer interaction, sociology, psychology, business, and many
other fields have started to systematically study the opportunistic
discovery of information and related concepts. By developing an
increased understanding of these phenomena we hope to find out how
they can be facilitated by interactive information retrieval systems
with the vision of contributing to the economic and social benefit of
all. The purpose of the special issue of Information Research is to
provide a central venue for researchers to present various conceptual
and research perspectives on the opportunistic discovery of
information and related concepts and to inform the research audience
about the current state of research in this emerging field.

Authors are invited to submit original, unpublished work that is not
under consideration by other journals. The work should focus on
theoretical, empirical or applied aspects of opportunistic discovery
of information (defined broadly and inclusively). Specific topics of
interest include, but are not limited to, work in the following areas:

- Understanding cognitive, process-based or behavioral aspects of the
opportunistic discovery of information and related concepts (including
models, theories or frameworks);
- Understanding the position of the opportunistic discovery of
information and related concepts within the broader framework of human
information behavior;
- The opportunistic discovery of information in various academic or
practical domains (e.g., education, medicine, architecture, art,
media, retail, entrepreneurship, etc.);
- Understanding factors that enable and/or inhibit the opportunistic
discovery of information;
- Methodologies for research on the opportunistic discovery of information;
- Opportunistic information discovery and individual differences;
- Measurement of individuals’ propensity for experiencing and engaging
in the opportunistic discovery of information.
- Opportunistic information discovery and social networking;
- Design and evaluation of interactive information retrieval systems
(or other tools/artifacts) aimed at encouraging, supporting or
facilitating the opportunistic discovery of information.

Your paper should be prepared in accordance with the Author
Instructions at http://informationr.net/ir/author2.html and the Style
Manual at http://informationr.net/ir/StyleManual.html. Note that
Information Research does not use ad hoc initialisms and acronyms, so
please do not refer to the ‘opportunistic discovery of information’ as
ODI. Similarly, please always spell out abbreviations such as LIS, IR
etc.

Submit your paper as a Microsoft Word ‘.DOC’ file through the journal
management system at http://nile.lub.lu.se/ojs/index.php/infores with
the top line annotation “Submission for Special Issue on Opportunistic
Discovery of Information” by May 31, 2011.

All papers will be initially screened by the special issue editors and
then sent out for peer review. This will be a ‘double blind’ review
process, so please mark any self-citations and references simply as
‘author,’ with no further details in the reference list (see the
journal management system for detailed instructions). Please also
include a separate cover sheet with the names and contact information
of all authors and contact information (including email) for 2
potential reviewers.

-----------------------------------------
About 'Information Research
-----------------------------------------

Information Research is an open access, international, peer-reviewed,
scholarly journal, dedicated to making accessible the results of
research across a wide range of information-related disciplines. It is
privately published and edited by Professor T.D. Wilson. See
http://informationr.net/ir for past issues.

    ---------------------------------------------------------------
                To unsubscribe, send an empty email to
     mailto:[log in to unmask]
    For further details of CHI lists see http://listserv.acm.org
    ---------------------------------------------------------------

ATOM RSS1 RSS2