ACM SIGCHI General Interest Announcements (Mailing List)


Options: Use Forum View

Use Monospaced Font
Show Text Part by Default
Show All Mail Headers

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

Print Reply
Sherry Chen <[log in to unmask]>
Reply To:
Sherry Chen <[log in to unmask]>
Mon, 18 Jun 2007 22:45:06 +0100
text/plain (159 lines)
*** Apologies for multiple/cross postings. ***




Call for Papers


Data Mining for Understanding User Needs


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



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] <mailto:[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] <mailto:[log in to unmask]>  and the ACM online manuscript system at: Further information, including TOCHI's submission procedures and advice on formatting and preparing your manuscript, can be found at: To discuss a possible contribution, please contact the special issue editors at [log in to unmask] <mailto:[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


Email: [log in to unmask] <mailto:[log in to unmask]> 


Professor Rob Macredie

School of Information Systems, Computing and Mathematics

Brunel University

Uxbridge, Middlesex


Email: [log in to unmask] <mailto:[log in to unmask]> 


Professor Xiaohui Liu

School of Information Systems, Computing and Mathematics

Brunel University

Uxbridge, Middlesex


Email: [log in to unmask] <mailto:[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] <mailto:[log in to unmask]> 

                To unsubscribe, send an empty email to
     mailto:[log in to unmask]
    For further details of CHI lists see