Human model evaluation in interactive supervised learning

Conference on Human Factors in Computing Systems - Proceedings

Volumn , Issue , 2011, Pages 147-156

  Fiebrink, Rebecca ^a,b   Cook, Perry R ^a,b   Trueman, Daniel ^b  

^a Princeton University   (United States)

^b PRINCETON UNIVERSITY   (United States)

Author keywords

Evaluation; Gesture; Interactive machine learning; Music

Indexed keywords

HUMAN COMPUTER INTERACTION; LEARNING ALGORITHMS; LEARNING SYSTEMS; USER INTERFACES;

END-USERS; EVALUATION; GESTURE; HUMAN MODELLING; INTERACTIVE MACHINE LEARNING; MACHINE LEARNING SYSTEMS; MODEL EVALUATION; MODELING PERFORMANCE; REAL-WORLD; SUPERVISED LEARNING SYSTEMS;

SUPERVISED LEARNING;

EID: 79958111278     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1978942.1978965     Document Type: Conference Paper

References (24)

1. Allen, J. M., Asselin, P. K., and Foulds, R. American sign language fingerspelling recognition system. In Proc. of the IEEE 29th Bioengineering Conference (2003).
2. Amershi, S., Fogarty, J., Kapoor, A., and Tan, D. Overview-based example selection in end-user interactive concept learning. In Proc. of the ACM Symposium on User Interface Software and Technology (UIST '09) (2009), 247-256.
3. Amershi, S., Fogarty, J., Kapoor, A., and Tan, D. Examining multiple potential models in end-user interactive concept learning. In Proc. of the SIGCHI Conference on Human Factors in Computing Systems (2010), 1357-1360.
4. Baker, K., Bhandari, A., and Thotakura, R. An interactive automatic document classification prototype. In Proc. of the Third Workshop on Human-Computer Interaction and Information Retrieval (2009), 30-33.
5. Begga, R., and Kamruzzaman, J. A machine learning approach for automated recognition of movement patterns using basic, kinetic and kinematic gait data. Journal of Biomechanics 38 (2005), 401-408. (Pubitemid 40126450)
6. Bishop, C. M. Pattern Recognition and Machine Learning, 2nd ed. Springer, 2007.
7. Fails, J. A., and Olsen, Jr., D. R. Interactive machine learning. In Proc. of the International Conference on Intelligent User Interfaces (IUI '03) (2003), 39-45.
8. Fels, S. S., and Hinton, G. E. Glove-TalkII: An adaptive gesture-to-formant interface. In Proc. of Computer Human Interaction (SIGCHI95) (1995), 456-463.
9. Fiebrink, R. Real-time Human Interaction with Supervised Learning Algorithms for Music Composition and Performance. PhD thesis, Princeton University, Princeton, NJ, USA, January 2011.
10. Fiebrink, R., Schedel, M., and Threw, B. Constructing a personalizable gesture-recognizer infrastructure for the K-Bow. In Proc. of the 3rd International Conference on Music and Gesture (MG3) (2010).
11. Fiebrink, R., Trueman, D., Britt, C., Nagai, M., Kaczmarek, K., Early, M., Daniel, M. R., Hege, A., and Cook, P. R. Toward understanding human-computer interaction in composing the instrument. In Proc. of the International Computer Music Conference (2010).
12. Fiebrink, R., Wang, G., and Cook, P. R. Support for MIR prototyping and real-time applications in the ChucK programming language. In Proc. of the International Conference on Music Information Retrieval (2008).
13. Fogarty, J., Tan, D., Kapoor, A., and Winder, S. CueFlik: interactive concept learning in image search. In Proc. of the SIGCHI Conference on Human Factors in Computing Systems (2008), 29-38.
14. Gohring, N. Mundie: Microsoft's research depth enabled Kinect. PCWorld (July 2010).
15. Hartmann, B., Abdulla, L., Mittal, M., and Klemmer, S. R. Authoring sensor-based interactions by demonstration with direct manipulation and pattern recognition. In Proc. of the SIGCHI Conference on Human Factors in Computing Systems (2007), 145-154. (Pubitemid 47581594)
16. Kapoor, A., Lee, B., Tan, D., and Horvitz, E. Interactive optimization for steering machine classification. In Proc. of the SIGCHI Conference on Human Factors in Computing Systems (2010), 1343-1352.
17. Lee, M., Freed, A., and Wessel, D. Neural networks for simultaneous classification and parameter estimation in musical instrument control. Adaptive and Learning Systems 1706 (1992), 244-55. (Pubitemid 23695799)
18. Peng, L., and Gerhard, D. A Wii-based gestural interface for computer-based conducting systems. In Proc. of the Conference on New Interfaces for Musical Expression (2009).
19. Shilman, M., Tan, D., and Simard, P. CueTIP: A mixed-initiative interface for correcting handwriting errors. In Proc. of the ACM Symposium on User Interface Software and Technology (UIST '06) (2006).
20. Talbot, J., Lee, B., Kapoor, A., and Tan, D. S. EnsembleMatrix: Interactive visualization to support machine learning with multiple classifiers. In Proc. of the SIGCHI Conference on Human Factors in Computing Systems (2009), 1283-1292.
21. Valiant, L. G. A theory of the learnable. Communications of the ACM 27, 11 (1984), 1134-1142.
22. Vredenburg, K., Mao, J.-Y., Smith, P. W., and Carey, T. A survey of user-centered design practice. In Proc. of the SIGCHI Conference on Human Factors in Computing Systems (2002), 471-478.
23. Wilson, A., and Shafer, S. XWand: UI for intelligent spaces. In Proc. of the SIGCHI Conference on Human Factors in Computing Systems (2003), 545-552.
24. Young, D. Classification of common violin bowing techniques using gesture data from a playable measurement system. In Proc. of the Conference on New Interfaces for Musical Expression (2008).