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Publisher: ACM
Languages: English
Types: Unknown
Subjects:
This paper presents an application of the CASSM (Concept-based Analysis of Surface and Structural Misfits) framework to interactive machine learning for a bodily interaction domain. We developed software to enable end users to design full body interaction games involving interaction with a virtual character. The software used a machine learning algorithm to classify postures as based on examples provided by users. A longitudinal study showed that training the algorithm was straightforward, but that debugging errors was very challenging. A CASSM analysis showed that there were fundamental mismatches between the users concepts and the working of the learning system. This resulted in a new design in which aimed to better align both the learning algorithm and user interface with users' concepts. This work provides and example of how HCI methods can be applied to machine learning in order to improve its usability and provide new insights into its use.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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    • 2. Blandford, A., Green, T. R. G., Furniss, D., and Makri, S. Evaluating system utility and conceptual fit using cassm. Int. J. Hum.-Comput. Stud. 66, 6 (June 2008), 393-409.
    • 3. Fails, J. A., and Olsen, Jr., D. R. Interactive machine learning. In Proceedings of the 8th international conference on Intelligent user interfaces, IUI '03, ACM (New York, NY, USA, 2003), 39-45.
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    • 5. Huang, L., Morency, L.-P., and Gratch, J. Learning backchannel prediction model from parasocial consensus sampling: a subjective evaluation. In Proceedings of the 10th international conference on Intelligent virtual agents, IVA'10, Springer-Verlag (Berlin, Heidelberg, 2010), 159-172.
    • 6. Kulesza, T., Stumpf, S., Wong, W.-K., Burnett, M. M., Perona, S., Ko, A., and Oberst, I. Why-oriented end-user debugging of naive bayes text classification. ACM Trans. Interact. Intell. Syst. 1, 1 (Oct. 2011), 2:1-2:31.
    • 7. Tho┬┤risson, K. Real-time decision making in multimodal face-to-face communication. In second ACM international conference on autonomous agents (1998), 16-23.
    • 8. Zamborlin, B., Bevilacqua, F., Gillies, M., and D'inverno, M. Fluid gesture interaction design: Applications of continuous recognition for the design of modern gestural interfaces. ACM Trans. Interact. Intell. Syst. 3, 4 (Jan. 2014), 22:1-22:30.
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