Items where Author is "Burnett, M."
Article
Stumpf, S. 
ORCID: 0000-0001-6482-1973, Peters, A., Bardzell, S. , Burnett, M., Busse, D., Cauchard, J. & Churchill, E. (2020).
Gender-Inclusive HCI Research and Design: A Conceptual Review.
Foundations and Trends in Human–Computer Interaction, 13(1),
pp. 1-69.
doi: 10.1561/1100000056
Mendez, C., Letaw, L., Burnett, M. , Stumpf, S. ORCID: 0000-0001-6482-1973, Sarma, A. & Hilderbrand, C. (2019).
From GenderMag to InclusiveMag: An Inclusive Design Meta-Method.
2019 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC),
pp. 97-106.
doi: 10.1109/vlhcc.2019.8818889
Burnett, M., Stumpf, S., Macbeth, J. , Makri, S., Beckwith, L., Kwan, I., Peters, A. & Jernigan, W. (2016). GenderMag: A Method for Evaluating Software’s Gender Inclusiveness. Interacting with Computers, 28(6), pp. 760-787. doi: 10.1093/iwc/iwv046
Groce, A., Kulesza, T., Zhang, C. , Shamasunder, S., Burnett, M., Wong, W-K, Stumpf, S., Das, S., Shinsel, A., Bice, F. & McIntosh, K. (2014). You are the only possible oracle: Effective test selection for end users of interactive machine learning systems. IEEE Transactions on Software Engineering, 40(3), pp. 307-323. doi: 10.1109/tse.2013.59
Das, S., Moore, T., Wong, W-K , Stumpf, S., Oberst, I., McIntosh, K. & Burnett, M. (2013). End-user feature labeling: Supervised and semi-supervised approaches based on locally-weighted logistic regression. Artificial Intelligence, 204, pp. 56-74. doi: 10.1016/j.artint.2013.08.003
Kulesza, T., Stumpf, S., Burnett, M. , Yang, S., Kwan, I. & Wong, W-K (2013). Too much, too little, or just right? Ways explanations impact end users' mental models. Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC, pp. 3-10. doi: 10.1109/VLHCC.2013.6645235
Kulesza, T., Stumpf, S., Wong, W-K. , Burnett, M., Perona, S., Ko, A. & Oberst, I. (2011). Why-Oriented End-User Debugging of Naïve Bayes Text Classification. Transactions on Interactive Intelligent Systems, 1(1), pp. 1-31. doi: 10.1145/2030365.2030367
Kulesza, T., Stumpf, S., Burnett, M. , Wong, W., Riche, Y., Moore, T., Oberst, I., Shinsel, A. & McIntosh, K. (2010). Explanatory debugging: Supporting end-user debugging of machine-learned programs. Proceedings - 2010 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2010, pp. 41-48. doi: 10.1109/VLHCC.2010.15
Stumpf, S., Rajaram, V., Li, L. , Wong, W-K., Burnett, M., Dietterich, T. G., Sullivan, E. & Herlocker, J. (2009). Interacting meaningfully with machine learning systems: Three experiments. International Journal of Human Computer Studies, 67(8), pp. 639-662. doi: 10.1016/j.ijhcs.2009.03.004
Book Section
Kulesza, T., Burnett, M., Wong, W-K. & Stumpf, S. (2015). Principles of Explanatory Debugging to personalize interactive machine learning. In: Brdiczka, O. & Chau, P (Eds.), Proceedings of the 20th International Conference on Intelligent User Interfaces. (pp. 126-137). New York, USA: ACM. doi: 10.1145/2678025.2701399
Stumpf, S., Burnett, M., Pipek, V. & Wong, W-K (2012). End-user interactions with intelligent and autonomous systems. In: Konstan, J. A., Chi, E. H. & Höök, K. (Eds.), CHI '12 Extended Abstracts on Human Factors in Computing Systems. (pp. 2755-2758). New York: ACM. doi: 10.1145/2212776.2212713
Kulesza, T., Stumpf, S., Burnett, M. & Kwan, I. (2012). Tell me more?: the effects of mental model soundness on personalizing an intelligent agent. In: Konstan, J. A., Chi, E. H. & Höök, K. (Eds.), Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. (pp. 1-10). New York: ACM. doi: 10.1145/2207676.2207678
Curran, W., Moore, T., Kulesza, T. , Wong, W-K, Todorovic, S., Stumpf, S., White, R. & Burnett, M. (2012). Towards recognizing "cool": can end users help computer vision recognize subjective attributes of objects in images? In: Duarte, C., Carriço, L., Jorge, J. A. , Oviatt, S. L. & Gonçalves, D. (Eds.), Proceedings of the 2012 ACM international conference on Intelligent User Interfaces. (pp. 285-288). New York: ACM. doi: 10.1145/2166966.2167019
Wong, W-K., Oberst, I., Das, S. , Moore, T., Stumpf, S., McIntosh, K. & Burnett, M. (2011). End-User Feature Labeling via Locally Weighted Logistic Regression. In: Burgard, W. & Roth, D. (Eds.), Proceedings of the Twenty-Fifth AAAI conference on Artificial Intelligence. (pp. 1575-1578). USA: AAAI Press.
Wong, W-K, Oberst, I., Das, S. , Moore, T., Stumpf, S., McIntosh, K. & Burnett, M. (2011). End-user feature labeling: a locally-weighted regression approach. In: Pu, P., Pazzani, M. J., André, E. & Riecken, D. (Eds.), Proceedings of the 16th international conference on Intelligent user interfaces. (pp. 115-124). New York: ACM. doi: 10.1145/1943403.1943423
Kulesza, T., Wong, W-K., Stumpf, S. , Perona, S., White, R., Burnett, M., Oberst, I. & Ko, A. J. (2009). Fixing the program my computer learned: barriers for end users, challenges for the machine. In: Conati, C., Bauer, M., Oliver, N. & Weld, D. S. (Eds.), Proceedings of the 14th international conference on Intelligent user interfaces. (pp. 187-196). ACM. doi: 10.1145/1502650.1502678
Conference or Workshop Item
Kulesza, T., Burnett, M., Stumpf, S. , Wong, W., Das, S., Groce, A., Shinsel, A., Bice, F. & McIntosh, K. (2011). Where Are My Intelligent Assistant's Mistakes? A Systematic Testing Approach. Paper presented at the Third International Symposium on End-User Development (IS-EUD), 07 - 10 June 2011, Torre Canne, Italy.
Stumpf, S., Sullivan, E., Fitzhenry, E. , Oberst, I., Wong, W-K. & Burnett, M. (2008). Integrating rich user feedback into intelligent user interfaces. In: International Conference on Intelligent User Interfaces, Proceedings IUI. International Conference on Intelligent User Interfaces, 24-27 Feb 2014, Haifa, Israel. doi: 10.1145/1378773.1378781