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Where Are My Intelligent Assistant's Mistakes? A Systematic Testing Approach.

, , , , , , , , and . IS-EUD, volume 6654 of Lecture Notes in Computer Science, page 171-186. Springer, (2011)

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Where Are My Intelligent Assistant's Mistakes? A Systematic Testing Approach., , , , , , , , and . IS-EUD, volume 6654 of Lecture Notes in Computer Science, page 171-186. Springer, (2011)Why-oriented end-user debugging of naive Bayes text classification., , , , , , and . ACM Trans. Interact. Intell. Syst., 1 (1): 2:1-2:31 (2011)Toward End-User Debugging of Machine-Learned Classifiers.. VL/HCC, page 253-254. IEEE Computer Society, (2010)Explanatory Debugging: Supporting End-User Debugging of Machine-Learned Programs., , , , , , , , and . VL/HCC, page 41-48. IEEE Computer Society, (2010)Too much, too little, or just right? Ways explanations impact end users' mental models., , , , , and . VL/HCC, page 3-10. IEEE Computer Society, (2013)You Are the Only Possible Oracle: Effective Test Selection for End Users of Interactive Machine Learning Systems., , , , , , , , , and 1 other author(s). IEEE Trans. Software Eng., 40 (3): 307-323 (2014)Tell me more?: the effects of mental model soundness on personalizing an intelligent agent., , , and . CHI, page 1-10. ACM, (2012)Mini-crowdsourcing end-user assessment of intelligent assistants: A cost-benefit study., , , , , , and . VL/HCC, page 47-54. IEEE, (2011)An explanation-centric approach for personalizing intelligent agents.. IUI, page 375-378. ACM, (2012)Towards recognizing "cool": can end users help computer vision recognize subjective attributes of objects in images?, , , , , , , and . IUI, page 285-288. ACM, (2012)