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Items where Author is "Burnett, M."

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Number of items: 18.

Article

Stumpf, S. ORCID: 0000-0001-6482-1973, Peters, A., Bardzell, S., Burnett, M., Busse, D., Cauchard, J. and 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. and 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. and 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. and 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. and 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. and 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. and Oberst, I. (2011). Why-Oriented End-User Debugging of Naïve Bayes Text Classification. Transactions on Interactive Intelligent Systems, 1(1), .2. doi: 10.1145/2030365.2030367

Kulesza, T., Stumpf, S., Burnett, M., Wong, W., Riche, Y., Moore, T., Oberst, I., Shinsel, A. and 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. and 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. and Stumpf, S. (2015). Principles of Explanatory Debugging to personalize interactive machine learning. In: Brdiczka, O. and Chau, P (Eds.), Proceedings of the 20th International Conference on Intelligent User Interfaces. (pp. 126-137). New York, USA: ACM. ISBN 9781450333061

Stumpf, S., Burnett, M., Pipek, V. and Wong, W-K (2012). End-user interactions with intelligent and autonomous systems. In: Konstan, J. A., Chi, E. H. and Höök, K. (Eds.), CHI '12 Extended Abstracts on Human Factors in Computing Systems. (pp. 2755-2758). New York: ACM. ISBN 978-1-4503-1016-1

Kulesza, T., Stumpf, S., Burnett, M. and Kwan, I. (2012). Tell me more?: the effects of mental model soundness on personalizing an intelligent agent. In: Konstan, J. A., Chi, E. H. and Höök, K. (Eds.), Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. (pp. 1-10). New York: ACM. ISBN 978-1-4503-1015-4

Curran, W., Moore, T., Kulesza, T., Wong, W-K, Todorovic, S., Stumpf, S., White, R. and 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. and Gonçalves, D. (Eds.), Proceedings of the 2012 ACM international conference on Intelligent User Interfaces. (pp. 285-288). New York: ACM. ISBN 978-1-4503-1048-2

Wong, W-K., Oberst, I., Das, S., Moore, T., Stumpf, S., McIntosh, K. and Burnett, M. (2011). End-User Feature Labeling via Locally Weighted Logistic Regression. In: Burgard, W. and Roth, D. (Eds.), Proceedings of the Twenty-Fifth AAAI conference on Artificial Intelligence. (pp. 1575-1578). USA: AAAI Press. ISBN 9781577355076

Wong, W-K, Oberst, I., Das, S., Moore, T., Stumpf, S., McIntosh, K. and Burnett, M. (2011). End-user feature labeling: a locally-weighted regression approach. In: Pu, P., Pazzani, M. J., André, E. and Riecken, D. (Eds.), Proceedings of the 16th international conference on Intelligent user interfaces. (pp. 115-124). New York: ACM. ISBN 978-1-4503-0419-1

Kulesza, T., Wong, W-K., Stumpf, S., Perona, S., White, R., Burnett, M., Oberst, I. and 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. and Weld, D. S. (Eds.), Proceedings of the 14th international conference on Intelligent user interfaces. (pp. 187-196). ACM. ISBN 978-1-60558-168-2

Conference or Workshop Item

Kulesza, T., Burnett, M., Stumpf, S., Wong, W., Das, S., Groce, A., Shinsel, A., Bice, F. and 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. and Burnett, M. (2008). Integrating rich user feedback into intelligent user interfaces. Paper presented at the International Conference on Intelligent User Interfaces, 24-27 Feb 2014, Haifa, Israel.

This list was generated on Fri May 29 05:13:31 2020 UTC.