References

Papers: Machine Learning

Anind K. Dey, Raffay Hamid, Chris Beckmann, Ian Li, and Daniel Hsu. 2004. a CAPpella: programming by demonstration of context-aware applications. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '04). ACM, New York, NY, USA, 33-40. DOI=http://dx.doi.org/10.1145/985692.985697

Dan Maynes-Aminzade, Terry Winograd, and Takeo Igarashi. 2007. Eyepatch: prototyping camera-based interaction through examples. In Proceedings of the 20th annual ACM symposium on User interface software and technology (UIST '07). ACM, New York, NY, USA, 33-42. DOI=http://dx.doi.org/10.1145/1294211.1294219

Björn Hartmann, Leith Abdulla, Manas Mittal, and Scott R. Klemmer. 2007. Authoring sensor-based interactions by demonstration with direct manipulation and pattern recognition. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '07). ACM, New York, NY, USA, 145-154. DOI=http://dx.doi.org/10.1145/1240624.1240646

Daniel Ashbrook and Thad Starner. 2010. MAGIC: a motion gesture design tool. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '10). ACM, New York, NY, USA, 2159-2168. DOI=http://dx.doi.org/10.1145/1753326.1753653

Jun Kato, Sean McDirmid, and Xiang Cao. 2012. DejaVu: integrated support for developing interactive camera-based programs. In Proceedings of the 25th annual ACM symposium on User interface software and technology (UIST '12). ACM, New York, NY, USA, 189-196. DOI=http://dx.doi.org/10.1145/2380116.2380142

Kayur Patel, Naomi Bancroft, Steven M. Drucker, James Fogarty, Andrew J. Ko, and James Landay. 2010. Gestalt: integrated support for implementation and analysis in machine learning. In Proceedings of the 23nd annual ACM symposium on User interface software and technology (UIST '10). ACM, New York, NY, USA, 37-46. DOI=http://dx.doi.org/10.1145/1866029.1866038

Shahriyar Amini and Yang Li. 2013. CrowdLearner: rapidly creating mobile recognizers using crowdsourcing. In Proceedings of the 26th annual ACM symposium on User interface software and technology (UIST '13). ACM, New York, NY, USA, 163-172. DOI=http://dx.doi.org/10.1145/2501988.2502029

Adam Fourney and Michael Terry. 2012. PICL: portable in-circuit learner. In Proceedings of the 25th annual ACM symposium on User interface software and technology (UIST '12). ACM, New York, NY, USA, 569-578. DOI=http://dx.doi.org/10.1145/2380116.2380188

Bullock, J., Momeni, A. (2015). ml.lib: Robust, Cross-platform, Open-source Machine Learning for Max and Pure Data. NIME 2015. https://nime2015.lsu.edu/proceedings/201/0201-paper.pdf

Shahriar Nirjon, Robert F. Dickerson, Philip Asare, Qiang Li, Dezhi Hong, John A. Stankovic, Pan Hu, Guobin Shen, and Xiaofan Jiang. 2013. Auditeur: a mobile-cloud service platform for acoustic event detection on smartphones. In Proceeding of the 11th annual international conference on Mobile systems, applications, and services (MobiSys '13). ACM, New York, NY, USA, 403-416. DOI=http://dx.doi.org/10.1145/2462456.2464446

Designing for Effective End-User Interaction with Machine Learning, Salem Amershi, dissertation, University of Washington 2012: http://research.microsoft.com/en-us/um/people/samershi/papers/amershi_Dissertation_2012.pdf

Papers: Examples

Stephen Oney and Joel Brandt. 2012. Codelets: linking interactive documentation and example code in the editor. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '12). ACM, New York, NY, USA, 2697-2706. DOI=http://dx.doi.org/10.1145/2207676.2208664

Björn Hartmann, Loren Yu, Abel Allison, Yeonsoo Yang, and Scott R. Klemmer. 2008. Design as exploration: creating interface alternatives through parallel authoring and runtime tuning. In Proceedings of the 21st annual ACM symposium on User interface software and technology (UIST '08). ACM, New York, NY, USA, 91-100. DOI=http://dx.doi.org/10.1145/1449715.1449732

Papers: Electronics Hobbyists and Sensors

Martin, Fred G. "Ideal and real systems: A study of notions of control in undergraduates who design robots." In Y. Kafai and M. Resnick (Eds.), Constructionism in Practice: Rethinking the Roles of Technology in Learning. 1996.

Software

Microsoft Azure Learning Studio

ml.lib: GRT for Max and Pure Data

Wekinator