CMU talk: Applied machine learning in human-computer interaction research

Machine Learning Lunch (http://www.cs.cmu.edu/~learning/)
Speaker: Moira Burke
Venue: GHC 6115
Date: Monday, October 19, 2009

Applied machine learning in human-computer interaction research

Human-computer interaction researchers use diverse methods—from eye-tracking to ethnography—to understand human activity, and machine learning is growing in popularity as a method within the community. This talk will survey projects from HCI researchers at CMU combining machine learning with other techniques to problems such as adapting interfaces to individuals with motor impairments, predicting routines in dual-income families, classifying controversial Wikipedia articles, and identifying rhetorical strategies newcomers use in online support groups that elicit responses. Researchers without strong computational backgrounds can face practical challenges as consumers of machine learning tools; this talk will highlight opportunities for tool design and collaboration across communities.