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Subject:
From:
Sherry Chen <[log in to unmask]>
Reply To:
Sherry Chen <[log in to unmask]>
Date:
Tue, 5 Jun 2007 20:06:48 +0100
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[Apologies for cross posting.]
************************************************************************
*****
We are happy to invite you to submit a paper for the special issue of
TOCHI on Data Mining for Understanding User Needs. Please see the
details below. 
************************************************************************
*****

Call for Papers

Data Mining for Understanding User Needs

A Special Issue of ACM Transactions on Computer-Human Interaction (ACM
TOCHI)

Introduction
Over the past few decades, computer-based technology has become an
indispensable tool for business and communication and a platform for
learning and entertainment applications.  As technology has developed, a
range of applications has emerged, from commerce systems such as those
of on-line shopping, to social networking sites where the focus is on
capturing and sharing personal content with others around the world.  As
a result of users' interactions with these applications, a vast amount
of data has been generated.  The data can be gathered over time (for
example in multiple visits by a single user) and can be of different
types (such as personal information on age and gender, as well as
navigation and transactional data gained as a result of everyday use of
the application). Analyzing the data can help those responsible for the
applications to understand the needs of their users and to evaluate the
effectiveness of user interaction.  In turn, this can be used to improve
the interface and interaction design, determine more suitable content,
and develop useful services targeted at individual users. 

To do so, the data analysis needs to discover relationships within the
data by using intelligent technologies, such as data and text mining.
Data mining, also known as knowledge discovery or sense making, is an
interdisciplinary area that encompasses techniques from a number of
fields, including information technology, statistical analyses, formal
reasoning, and computational linguistics, to help analyze, understand or
visualize huge amounts of data. Applying data mining to understand user
needs as part of the application development and evaluation processes is
a promising area of research that may help to identify prescriptions for
developing applications that better support the needs of individual
users. It is the main aim of this special issue to encourage this very
promising line of research.

Research Topics
The proposed special issue aims to gather state-of-the-art research at
the interface of data mining and human-computer interaction, with a
focus on understanding user requirements and goals or properties of
individual users with data mining techniques. Papers concerned with
novel techniques and significant evaluation will be considered.  With
respect to novel techniques, we anticipate that papers will focus on the
development of novel data mining algorithms for understanding the needs
of individual users.  With respect to significant evaluation, papers
will report important results from empirical studies that investigate
users' needs and preferences through data mining techniques.  Papers
that combine novel techniques and significant evaluation will be
particularly welcome. Topics of interest include, but are not limited
to:

*	Classification of human factors on user needs;
*	Data driven understanding of users needs
*	Fuzzy clustering of user requirements;
*	Interactive and/or collaborative data mining
*	Mining of association rules for web logs;
*	Mining of customer requirements in e-commerce;
*	Mining of the needs of digital library users;
*	Mining of usage data in mobile devices;
*	Modeling of the evolution of user behavior;
*	Multi modal sense making
*	Sensing making for recommender systems
*	Sequential analysis of observed user actions;
*	Spatial and temporal discovery of user needs;
*	Visualization of users' information seeking.

Submission Procedures
Researchers and practitioners are invited to send an abstract of between
200 to 250 words to [log in to unmask] by June 30, 2007. Subsequently,
full papers are due by November 30, 2007 and must be sent to both
[log in to unmask] and the ACM online manuscript system at:
http://acm.manuscriptcentral.com/. Further information, including
TOCHI's submission procedures and advice on formatting and preparing
your manuscript, can be found at: http://www.acm.org/tochi/. To discuss
a possible contribution, please contact the special issue editors at
[log in to unmask]

Review Process
Submission will be rigorously peer reviewed to the usual high standard
of TOCHI. In general, each submission will be reviewed by three
researchers selected from a panel of reviewers formed for the special
issue. The panel will include experts in the areas of data mining and
human-computer interaction. We expect to notify authors of the outcome
of the first round of reviews within three months of the submission
deadline.

Important Dates
*	Deadline for expression of interest and abstracts submission: 1
month (June 30, 2007)
*	Feedback to authors: 1 month (July 31, 2007)
*	Deadline for authors to submit full papers: 4 months (November
30, 2007)
*	Deadline for reviewers to submit comments: 3 months (February
28, 2008)
*	Authors notification: 1 month (March 30, 2008)
*	Deadlines for submission of the final version of the papers: 3
months (June 30, 2008)
*	Review of the final version: 2 months (August 31, 2008) 
*	Notification of final acceptance: 1 month (September 30, 2008)

Guest Editors
		Dr. Sherry Y. Chen
		School of Information Systems, Computing and Mathematics
		Brunel University
		Uxbridge, Middlesex
		UB8 3PH, UK
Email: [log in to unmask]

		Professor Rob Macredie
		School of Information Systems, Computing and Mathematics
		Brunel University
		Uxbridge, Middlesex
		UB8 3PH, UK
Email: [log in to unmask]

		Professor Xiaohui Liu
		School of Information Systems, Computing and Mathematics
		Brunel University
		Uxbridge, Middlesex
		UB8 3PH, UK
Email: [log in to unmask]

		Professor Alistair Sutcliffe (TOCHI Associate Editor)
		School of Informatics
		University of Manchester
		Manchester M60 1QD, UK
Email: [log in to unmask]



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