Sentient Computing For Innovation

The document discusses using location tracking systems to better understand informal face-to-face interactions in the workplace and how they contribute to knowledge transfer and innovation. It outlines challenges with location data including noise and assumptions that must be addressed. Definitions for solo work, interaction, and other behaviors are provided along with temporal and spatial factors that will be measured. The goal is to generate meaningful data and visualizations on individual and group behaviors over time to gain insights into organizational processes.