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I’ve held a lifelong interest in how people interact with computers and ways technology can better support our lives. My current research focuses on how people reason about and improve personal intelligent assistants, such as recommendation systems and email classifiers.

Affiliation

Graduate student and research assistant at Oregon State University.

Journal Articles

• Why-Oriented End-User Debugging of Naïve Bayes Text Classification. Todd Kulesza, Simone Stumpf, Weng-Keen Wong, Margaret Burnett, Stephen Perona, Andrew Ko, and Ian Oberst. ACM Transactions on Interactive Intelligent Systems, 1, 1. (to appear)

Conference Papers

• Mini-Crowdsourcing End-User Assessment of Intelligent Assistants: A Cost-Benefit Study. Amber Shinsel, Todd Kulesza, Margaret Burnett, William Curran, Alex Groce, Simone Stumpf and Weng-Keen Wong. IEEE Symposium on Visual Languages and Human-Centric Computing, Pittsburg, PA, Sept. 2011. (to appear)
• Where Are My Intelligent Assistant’s Mistakes? A Systematic Testing Approach. Todd Kulesza, Margaret Burnett, Simone Stumpf, Weng-Keen Wong, Shubhomoy Das, Alex Groce, Amber Shinsel, Forrest Bice, and Kevin McIntosh. International Symposium on End-User Development, Torre Canne, Italy, June 2011, pp. 171-186.
• Explanatory Debugging: Supporting End-User Debugging of Machine-Learned Programs. Todd Kulesza, Simone Stumpf, Margaret Burnett, Weng-Keen Wong, Yann Riche, Travis Moore, Ian Oberst, Amber Shinsel, and Kevin McIntosh. IEEE Symposium on Visual Languages and Human-Centric Computing, Madrid, Spain, Sept. 2010, pp. 41-48.
• Fixing the Program My Computer Learned: Barriers for End Users, Challenges for the Machine. Todd Kulesza, Weng-Keen Wong, Simone Stumpf, Stephen Perona, Rachel White, Margaret Burnett, Ian Oberst, and Andrew J. Ko. ACM Conference on Intelligent User Interfaces, Sanibel Island, FL, Feb. 2009, pp. 187-196.
• Can Feature Design Reduce the Gender Gap in End-User Software Development Environments? Valentina Grigoreanu, Jill Cao, Todd Kulesza, Christopher Bogart, Kyle Rector, Margaret Burnett, and Susan Wiedenbeck. IEEE Symposium on Visual Languages and Human-Centric Computing, Herrsching am Ammersee, Germany, Sept. 2008, pp. 149-156.

Other Publications

• Toward End-User Debugging of Machine-Learned Classifiers. Todd Kulesza. IEEE Symposium on Visual Languages and Human-Centric Computing, Doctoral Consortium, Madrid, Spain, Sept. 2010, pp. 253-254.
• End-User Software Engineering and Distributed Cognition. Margaret Burnett, Christopher Bogart, Jill Cao, Valentina Grigoreanu, Todd Kulesza, Joseph Lawrance. Proceedings of the 2009 ICSE Workshop on Software Engineering Foundations for End User Programming, pp. 1-7.

Education

• Oregon State University, Ph.D. in progress, Computer Science (advised by Margaret Burnett)
• Oregon State University, 2007-2010, M.S. Computer Science (advised by Margaret Burnett)
• Oakland University, 2001-2005, B.S. Computer Science, minor in History.