BeatBox: End-user Interactive Definition and Training of Recognizers for Percussive Vocalizations

Interactive end-user training of machine learning systems has received significant attention as a tool for personalizing recognizers. However, most research limits end users to training a fixed set of application-defined concepts. This paper considers additional challenges that arise in end-user support for defining the number and nature of concepts that a system must learn to recognize. We develop BeatBox, a new system that enables end-user creation of custom beatbox recognizers and interactive adaptation of recognizers to an end user’s technique, environment, and musical goals. BeatBox proposes rapid end-user exploration of variations in the number and nature of learned concepts, and provides end users with feedback on the reliability of recognizers learned for different potential combinations of percussive vocalizations. In a preliminary evaluation, we observed that end users were able to quickly create usable classifiers, that they explored different combinations of concepts to test alternative vocalizations and to refine classifiers for new musical contexts, and that learnability feedback was often helpful in alerting them to potential difficulties with a desired learning concept

Social Access Control for Social Media Using Shared Knowledge Questions

Managing privacy of online content is difficult. We present a simple social access control where sharers specify test questions of shared knowledge, such as "what is our school mascot," instead of creating authenticated accounts and specifying explicit access control rules for all potential accessors. This demo will let attendees interact with our Facebook prototype. We will also explain prior studies that elucidate the context of photo sharing security, gauge the difficulty of creating shared knowledge questions, measure their resilience to adversarial attack, and evaluate users' abilities to understand and predict this resilience

Social Access Control for Social Media Using Shared Knowledge Questions

Managing privacy of online content is difficult. We present a simple social access control where sharers specify test questions of shared knowledge, such as “what is our school mascot,” instead of creating authenticated accounts and specifying explicit access control rules for all potential accessors. This demo will let attendees interact with our Facebook prototype. We will also explain prior studies that elucidate the context of photo sharing security, gauge the difficulty of creating shared knowledge questions, measure their resilience to adversarial attack, and evaluate users ’ abilities to understand and predict this resilience