Rebecca Fiebrink et al.: Human Model Evaluation in Interactive Supervised Learning.
http://www.cs.princeton.edu/~fiebrink/publications/FiebrinkCookTrueman_CHI2011.pdf
Moreover, we invite you to join us for a post-meeting pint at the peasant.
From the Abstract […]
We present work studying the evaluation practices of end users interactively building supervised learning systems for real-world gesture analysis problems. We examine users’ model evaluation criteria, which span conventionally relevant criteria such as accuracy and cost, as well as novel criteria such as unexpectedness.
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The authors describe three studies of people applying super- vised learning to their work in computer music:
1. A user-centered design process with seven composers, which focused on the refinement of the Wekinator. (http://wekinator.cs.princeton.edu/)
2. Students using the Wekinator in an assignment focused on supervised learning in interactive music performance systems.
3. A case study in which they worked with a professional cellist/composer to build a gesture recognition system for a sensor-equipped cello bow. (K-Bow)