Negotiating Ontological Boundaries in User-Authored Personal Sensing Systems

Researchers designed two interactive probes using a Wizard of Oz method to let users train personalized machine learning systems on self-defined phenomena, exploring how people negotiate ontological boundaries in personal sensing. A week-long study revealed four key areas where users negotiated concepts like phenomena boundaries, subject-object relations, signal versus noise, and data objectivity.