Just talk to me: a field study of expertise location
CSCW '98 Proceedings of the 1998 ACM conference on Computer supported cooperative work
You Are Who You Talk To: Detecting Roles in Usenet Newsgroups
HICSS '06 Proceedings of the 39th Annual Hawaii International Conference on System Sciences - Volume 03
Pick me!: link selection in expertise search results
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Knowledge sharing and yahoo answers: everyone knows something
Proceedings of the 17th international conference on World Wide Web
Articulations of wikiwork: uncovering valued work in wikipedia through barnstars
Proceedings of the 2008 ACM conference on Computer supported cooperative work
Expert recommender systems in practice: evaluating semi-automatic profile generation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Making sense of strangers' expertise from signals in digital artifacts
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Learning how: the search for craft knowledge on the internet
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Locating patient expertise in everyday life
Proceedings of the ACM 2009 international conference on Supporting group work
Bridging Artifacts and Actors: Expertise Sharing in Organizational Ecosystems
Computer Supported Cooperative Work
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Managing personal aspects of health is challenging for many patients, particularly those facing a serious condition such as cancer. Finding experienced patients, who can share their knowledge from managing a similar health situation, is of tremendous value. Users of health-related social software form a large base of such knowledge, yet these tools often lack features needed to locate peers with expertise. Informed directly by our field work with breast cancer patients, we designed a patient expertise locator for users of online health communities. Using feedback from two focus groups with breast cancer survivors, we took our design through two iterations. Focus groups concluded that expertise locating features proved useful for extending social software. They guided design enhancements by suggesting granular user control through (1) multiple mechanisms to identify expertise, (2) detailed user profiles to select expertise, and (3) varied collaboration levels. Our user-centered approach links field work to design through close collaboration with patients. By illustrating trade-offs made when sharing sensitive health information, our findings inform the incorporation of expertise locating features into social software for patients.