This publication describes an operating system (OS) that re-defines a user as a sum of all occupants in a shared space, and not merely as a single individual who has signed into a shared device. To identify the occupants of a space, the OS uses objective markers, such as: facial recognition, radar signature, biometric sensors, media address control identification (MAC ID), voice recognition, various sensors, radio-frequency identification (RFID), or other Internet-of-Things (IoT) data. Then, the OS filters out the displayed content on the shared device based on a level of trust amongst the occupants and a level of sensitivity. To evaluate the re-defined user, trust level, and sensitivity level, the OS may prompt the user to apply labels to a contact list, or alternatively, use machine learning or artificial intelligence (AI) to evaluate the user by interpreting the interaction amongst the occupants of a shared space.
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Randolph, Scott; Stenning, Bradley; and Paik, Steve, "Method for Filtering Displayed Content Based on Occupants", Technical Disclosure Commons, (December 17, 2018)