<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Huh, Jina</style></author><author><style face="normal" font="default" size="100%">Mark W. Newman</style></author><author><style face="normal" font="default" size="100%">Mark S. Ackerman</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Supporting Collaborative Help for Individualized Use</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI’11)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">appropriation</style></keyword><keyword><style  face="normal" font="default" size="100%">collaborative help</style></keyword><keyword><style  face="normal" font="default" size="100%">configuration</style></keyword><keyword><style  face="normal" font="default" size="100%">customization</style></keyword><keyword><style  face="normal" font="default" size="100%">e-communities</style></keyword><keyword><style  face="normal" font="default" size="100%">individualized use</style></keyword><keyword><style  face="normal" font="default" size="100%">MythTV</style></keyword><keyword><style  face="normal" font="default" size="100%">pervasive systems</style></keyword><keyword><style  face="normal" font="default" size="100%">Q&amp;A</style></keyword><keyword><style  face="normal" font="default" size="100%">social Q&amp;A</style></keyword><keyword><style  face="normal" font="default" size="100%">tailorability</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">5/2011</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">Complete</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;In this paper, we seek to advance the research around utilizing collaborative help for supporting individualized use of technologies. We do this by shedding light on the ways that users of MythTV, a highly flexible open-source software system for home entertainment enthusiasts, collaboratively help one another in maintaining their individualized MythTV systems. Through an analysis of the MythTV user community’s mailing list archive, documentation, and wiki, along with user interviews, we discuss how the community utilizes configuration artifacts as proxies to easily mobilize and exchange knowledge. While exchanging concrete artifacts such as scripts and configuration files was seen to sometimes increase the efficiency of knowledge transfer, it also presented several challenges. Negotiating the transparency of configuration artifacts, navigating the customization and appropriation gulfs, and aligning usage trajectories all emerged as problematic areas. We discuss design implications that center around addressing these challenges. Our findings provide a a useful new perspective on how to support users in their individualized use of systems.&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Jiang Yang</style></author><author><style face="normal" font="default" size="100%">Wei, Xiao</style></author><author><style face="normal" font="default" size="100%">Mark S. Ackerman</style></author><author><style face="normal" font="default" size="100%">Lada A. Adamic</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Activity lifespan: An analysis of user survival patterns in online knowledge sharing communities</style></title><secondary-title><style face="normal" font="default" size="100%">International Conference on Weblogs and Social Media (ICWSM’10)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">community evolution</style></keyword><keyword><style  face="normal" font="default" size="100%">e-communities</style></keyword><keyword><style  face="normal" font="default" size="100%">intercultural</style></keyword><keyword><style  face="normal" font="default" size="100%">online communities</style></keyword><keyword><style  face="normal" font="default" size="100%">Q&amp;A</style></keyword><keyword><style  face="normal" font="default" size="100%">QA communities</style></keyword><keyword><style  face="normal" font="default" size="100%">survival analysis</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style  face="normal" font="default" size="100%">05/2010</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">Complete</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Retaining participation is crucial for information services, online knowledge sharing services among them. We present the first comprehensive analysis of users’ activity lifespan across three predominant online knowledge sharing communities. Extending previous work focusing on initial interactions of new users, we use survival analysis to quantify participation patterns that can be used to predict individual lifespan over the long term. We discuss how cross site differences in user participation and the underlying factors can be related to differences in system design and culture. We conduct a longitudinal comparison of the communities’ evolvement between two distinct stages, the initial days just after the site launch and one year later. We also observe that sub communities corresponding to different topics differ in their ability to sustain users. All results reveal the complexity and diversity in users’ engagement to a site and design implications are discussed.&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mark S. Ackerman</style></author><author><style face="normal" font="default" size="100%">Malone, Thomas W.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Answer Garden: A Tool for Growing Organizational Memory</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the ACM Conference on Office Information Systems (COCS&#039;90)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Answer Garden</style></keyword><keyword><style  face="normal" font="default" size="100%">organizational memory</style></keyword><keyword><style  face="normal" font="default" size="100%">Q&amp;A</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">1990</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">Complete</style></url></web-urls></urls><pages><style face="normal" font="default" size="100%">31–39</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Answer Garden allows organizations to develop databases of commonly asked questions that grow &quot;organically&quot; as new questions arise and are answered. It is designed to help in situations (such as field service organizations and customer &quot;hot lines&quot;) where there is a continuing stream of questions, many of which occur over and over, but some of which the organization has never seen before. The system includes a branching network of diagnostic questions that helps users find the answers they want. If the answer is not present, the system automatically sends the question to the appropriate expert, and the answer is returned to the user as well as inserted into the branching network. Experts can also modify this network in response to users&#039; problems. Our initial Answer Garden database contains questions and answers about how to use the X Window System.&lt;/p&gt;</style></abstract></record></records></xml>