Human-AI Collaborative Big-Thick Data Collection

By Big-Thick data, we mean large-scale sensor data (big data) which provides an objective view of reality, coupled with thick data, i.e., data generated by people, which describes their subjective view of the reality described by big data. Big-thick data enables a machine understanding of human behavior and activities, as well as the human interpretation of what they are doing, i.e., their own personal descriptions of the why, what, and how. The goal of this short paper is to provide a high-level description of a platform, called i-Log, that enables the collection of big-thick data. Its core components are: tools for collecting sensor data as well as the user feedback (e.g., user answers to machine questions), and a dashboard which provides visual qualitative and quantitative feedback on how things are evolving, as well as suitable notifications to the user.