Using social psychology to motivate contributions to online communities
CSCW '04 Proceedings of the 2004 ACM conference on Computer supported cooperative work
Maintaining mental models: a study of developer work habits
Proceedings of the 28th international conference on Software engineering
Proceedings of the 15th international conference on World Wide Web
Information Needs in Collocated Software Development Teams
ICSE '07 Proceedings of the 29th international conference on Software Engineering
Program comprehension as fact finding
Proceedings of the the 6th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
Wiki anxiety: impediments to implementing wikis for IT support groups
Proceedings of the Symposium on Computer Human Interaction for the Management of Information Technology
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While measurements of wiki usage typically focus on the active contribution of content, information on the passive use of existing content can be valuable for a range of commercial and research purposes. In particular, such data is necessary for reconstructing the context or tracing the flow of information in settings where wikis are used as collaboration platforms in knowledge work that relies on specialized tools, such as software development. Meeting these needs requires detailed knowledge of userbehavior, such as the duration for which a page was readand the sections visible at each point. This data cannot becollected by present wiki implementations and must be collected from the client-side, which presents a range of technical and privacy problems. In addition, this data must be correlated with traces of interaction with other tools. In this paper we present an approach for solving theseproblems in which scripts embedded by the wiki server areexecuted by the client browser, and report on the user's interaction with that document along with relevant structural information. These reports are relayed to a comprehensive framework for storing and accessing interaction and context data from the wiki and from additional tools used in knowledge work. This framework can be used to correlate these traces to obtain a complete view of the user's work across tools, or to approximate his context at specific points in time.