A user adaptive cooking navigation system using ubiquitous sensing environment

This paper introduces a user adaptive cooking navigation system, which can deal with concurrent cooking. The system recognizes the situation of users’ cooking and offers the helpful guidance by a movie or a text etc. Because the frequent order rearrangement of cooking steps occurs under the concurrent cooking task, the state recognition is difficult. To solve the problem, we propose a user adaptive model of cooking, which is a combination of flow graphs and state-machine-diagrams of UML. We experimented on the system, and confirmed the effectiveness of the model.