A BBN-based Method to Manage Adaptive Behavior of a Smart User Interface
Francesca Gullà, Lorenzo Cavalieri, Silvia Ceccacci, Michele Germani · Procedia CIRP · 2016
The present study proposes a new method to manage adaptation behaviour of adaptive system according to the output information provide by a user model based on Bayesian Belief Network (BBN). Such method has been applied in the development of smart interfaces for cooking and kitchen management, such as meal preparation and interaction with the major kitchen appliances, pandering the user's skills, expertise and disabilities. Nevertheless, this method is flexible and suitable enough to be used in other application contexts. The validity of the decision making algorithm has been tested through simulation of real user case scenarios.