Joseph Konstan
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Contact Information
Associate Professor
Department of Computer Science and Engineering
University of Minnesota
4-192 EE/CS Building
200 Union Street SE
Minneapolis, MN 55455
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Biography
Joseph A. Konstan is Associate Professor of Computer Science
and Engineering at the University of Minnesota where he co-directs the
GroupLens research group. His interests span a diverse set of topics within
Human-Computer Interaction, including recommender systems, design issues in
online communities, and the use of online interactions for health promotion. His
current projects include investigations into the economics of participation in
online communities, the technology and design factors for digital library
recommenders, and on-line HIV-prevention studies.
Prof. Konstan earned his Ph.D. in 1993 from the University of California, Berkeley. He is an active volunteer in the professional community,
currently serving as President of ACM SIGCHI and as vice-Chair of ACM’s
Membership Services Board and ACM’s SIG Governing Board. He is an ACM
Distinguished Lecturer and an IEEE Distinguished Visitor.
Position Paper
I am active in three projects directly related to social
computing, and will summarize each briefly.
First, I am working in collaboration with an economist (Yan
Chen, from the University of Michigan) and our students to explore the
economics of participation in online communities. This particular series of
studies (which is in its second year and will likely extend for another two or
three years) has developed economic models of participation in recommender
communities (in our case, the MovieLens system), considering the costs of
different types of participation and the benefits that users get from their use
of the system. We are currently designing experiments to test several theories
of user behavior to understand what cues lead people to contribute effort to
the welfare of others (e.g., contributing a review) vs. only toward their own
welfare. As far as we know, this is the only study using techniques from
experimental economics to explore user behavior in an online community. The
first results from this effort will be published this Summer at the 10th
International User Modeling conference.
Second, my students and I are working on the design of
recommender tools to better support the use of digital libraries. While some of
these tools are not outwardly social, others are quite explicitly so. Particular
scenarios of interest include the creation and support of reading groups, and
the collective creation and ownership of bibliographies. We first demonstrated
the feasibility of recommending research papers in 2002, and since then have
been expanding our efforts by studying the nature of recommendations desired
and by developing the infrastructure for a large-scale experiment. We are now
working with ACM’s Digital Library data to develop prototypes that can support
a wide range of individual and social interactions that we hope will define the
next generation of digital library.
Third, I have been working with colleagues from our medical
school, and from across the university, on a project exploring ways to assess communitywide
HIV risk online, to understand the relationship between online partner-seeking
and unsafe sex, and to develop and test online interventions to improve sexual
health and reduce sexual risk taking. This project has already yielded some
interesting results, including demonstrations of the higher total risk exposure
of US-resident Latino men through Internet-mediated liaisons compared with
conventional ones. We are now entering the most exciting stage of the project. We
are developing the online “equivalent” of a weekend-long group retreat that has
been shown to be effective in increasing sexual health and reducing STD risk.
Back to Social Computing Symposium 2005
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