Special issue editors: Sherry Y. Chen (Brunel University), Rob Macredie (Brunel University), Xiaohui Liu (Brunel University), Alistair Sutcliffe (University of Manchester)
Contact: tochi.2007@gmail.com
Deadline for Abstracts: June 30, 2007
Deadline for Submissions: December 6, 2007 (extended from Nov. 30)
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 usersā 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.
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 usersā 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:
Researchers and practitioners are invited to send an abstract of between 200 to 250 words to tochi.2007@gmail.com by June 30, 2007. Subsequently, full papers are due by December 6, 2007 and must be sent to both tochi.2007@gmail.com and the ACM online manuscript system at: http://acm.manuscriptcentral.com/tochi/. 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 tochi.2007@gmail.com.
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.
Dr. Sherry Y. Chen
School of Information Systems, Computing and Mathematics
Brunel University
Uxbridge, Middlesex
UB8 3PH, UK
Email: Sherry.Chen@brunel.ac.uk
Professor Rob Macredie
School of Information Systems, Computing and Mathematics
Brunel University
Uxbridge, Middlesex
UB8 3PH, UK
Email: Rob.Macredie@brunel.ac.uk
Professor Xiaohui Liu
School of Information Systems, Computing and Mathematics
Brunel University
Uxbridge, Middlesex
UB8 3PH, UK
Email: Xiaohui.Liu@brunel.ac.uk
Professor Alistair Sutcliffe (TOCHI Associate Editor)
School of Informatics
University of Manchester
Manchester M60 1QD, UK
Email: Alistair.G.Sutcliffe@manchester.ac.uk
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