Face-Based Availability Prediction through Probabilistic Models
Description
Interruptions through communication contacts, who initiate a conversation cause considerable distractions. However, users are not available for all contacts in the same way. For instance, a user at work might be highly available for her team colleagues and unavailable for her friends. This project studies the possibility of predicting sensor-based the availability of the user in respect to availability categories. This project will develop a concept for intelligent availability management, in order to minimize awkward interruptions.
People
Tom Gross, Supervisor
Mirko Fetter, Supervisor
Julian Seifert, Master's candidate