Printed Program (pdf) - CHI 2012 - Association for Computing ...

Wednesday | Afternoon | 14:30—15:50
n TECHNICAL PRESENTATIONS | 19AB
CHECK THIS OUT: RECOMMENDER SYSTEMS
SESSION CHAIR: James Fogarty, University of Washington, USA
NOTE | AccessRank: Predicting What Users Will
Do Next &
Stephen Fitchett, Andy Cockburn, University of Canterbury, New
Zealand
Describes AccessRank, an algorithm that predicts user actions.
Log analyses (web visits, window switches, and command use)
demonstrate that it outperforms existing techniques (e.g. recency,
frequency). Gives directions for deployment.
NOTE | Effects of Behavior Monitoring and Perceived
System Benefit in Online Recommender Systems
Michael Nowak, Clifford Nass, Stanford University, USA
Experiment manipulating an online recommender system’s
behavior-monitoring functionality and its perceived consumer or
corporate benefit. Offers guidance for theorists and designers of
recommender systems.
ToCHI | Design and Evaluation of a Command
Recommendation System for Software Applications
Wei Li, Justin Matejka, Tovi Grossman, Autodesk Research, Canada
Joseph Konstan, University of Minnesota, USA
George Fitzmaurice, Autodesk Research, Canada
Explores the design space of modern recommender systems in
complex software applications for aiding command awareness.
Performs a 6-week real-time within-application field study in user’s
actual working environments.
PAPER | Asking the Right Person: Supporting Expertise
Selection in the Enterprise
Svetlana Yarosh, Georgia Tech, USA
Tara Matthews, Michelle Zhou, IBM Almaden, USA
Lab study demonstrating that providing additional information
about experts in expertise recommenders leads to better
selections, and indicating which information is most useful. Offers
design implications for expertise recommender creators
PAPER | To Switch or Not To Switch: Understanding
Social Influence in Online Choices
Haiyi Zhu, Carnegie Mellon University, USA
Bernardo Huberman, Yarun Luon, HP Labs, USA
Do online recommendations sway people’s own opinions? The results of
this paper show that this is indeed the case, with important
consequences for consumer behavior research and marketing strategies.
80 | ACM Conference on Human Factors in Computing Systems
n SPECIAL INTEREST GROUP | 11A
SIG: END-USER PROGRAMMING
ORGANIZERS
Christopher Scaffidi, Oregon State University, USA
Joel Brandt, Adobe Systems, USA
Margaret Burnett, Oregon State University, USA
Andrew Dove, National Instruments, USA
Brad Myers, Carnegie Mellon University, USA
This special interest group meeting will bring together the
community of researchers and companies focused on creating
end-user programming tools, thereby facilitating technology
transfer and future collaboration.
n SPECIAL INTEREST GROUP | 11B
REJECT ME: PEER REVIEW AND SIGCHI
ORGANIZERS
Michael Bernstein, Massachusetts Institute of Technology, USA
Dan Cosley, Cornell University, USA
Carl DiSalvo, Georgia Tech, USA
Sanjay Kairam, Stanford University, USA
David Karger, Massachusetts Institute of Technology, USA
Travis Kriplean, University of Washington
Cliff Lampe, University of Michigan, USA
Wendy Mackay, INRIA, France
Loren Terveen, University of Minnesota, USA
Jacob Wobbrock, University of Washington, USA
Sarita Yardi, Georgia Tech, USA
Discussion about review process at CHI focusing on 1) ways to
improve reviewing, 2) alternative peer review models, and 3)
educational materials for new reviewers.
AFTERNOON BREAK | COMMONS
15:50-16:30
Refreshments are served in the
Commons (Exhibit Hall 4).
INTERACTIVITY | 15:50-16:30
The Interactivity Permanent Collection
will be open during this break in the
Commons (Exhibit Hall 4, Level 1). All
presenters will be present.