Along with my colleagues and co-guest editors Jim Jansen, Kirstie Hawkey, Melanie Kellar, and Andy Edmonds, I am happy to announce a call for paper submissions for a Special Issue of the Journal of Web Engineering focusing on Logging Traces of Web Activity.
People are now using the World Wide Web (Web) to seek, gather, and share information in increasingly complex ways. In order to develop the next generation of Web information systems, we must have an understanding of people’s goals, their context, and their situational aspects. These aspects are difficult, if not impossible, to investigate in laboratory settings. Therefore, researchers must turn to naturalistic studies involving large number of users who may be separated geographically. In these settings, many researchers require logs of user behaviour on the Web to study the interactions of Web users, both with respect to general behaviour and in order to develop and evaluate new tools and techniques. Traces of Web activity are used for a wide variety of research and commercial purposes including user interface usability and evaluations of user behaviour and patterns on the Web. Unfortunately, current tools and processes do not support consistent and detailed studies using logs of user behaviour. As such, there is a duplication of effort, which hampers progress in the field.
This special issue is inspired by the Logging Traces of Web Activity: The Mechanics of Data Collection workshop at the WWW 2006 Conference this May in Edinburgh, Scotland.
Relevant research themes include, but are not limited to:
- Methodologies for data collection (client-side, server-side, proxy-based)
- Collection of browser data (e.g. events, bookmarks, history, and caches)
- Collection of data from users across different browsers
- AJAX-compatible logging systems
- Using mixed data sources for data validation
- Cleaning Web data
- Web data warehousing
- Using Web data for proactive user functionality
- Methods for matching user behaviour to task models
- Qualitative annotation of Web data
Submissions should be full length articles. All submissions will be peer reviewed and should describe original research that is not under consideration in any other forum. Please follow the formatting guidelines of the journal. Submissions should be emailed to firstname.lastname@example.org in PDF format. All questions regarding submissions should be directed to Melanie Kellar (email@example.com).
Submission Deadline: January 8, 2007
Reviews Due: February 8, 2007
Notification to Authors: February 19, 2007
Final Papers Due: March 19, 2007