Adaptive prompting based on petri net in a smart medication system
Résumé
We conduct a study to determine when best to provide reminders by recognizing the interruption relations that occur in human behaviors. A model based on Petri Net to describe the execution of multiple activities is proposed. This approach aids the automatic analysis of activity interruption and supports adaptive prompting. We describe our experience in building a medication system that provides context-aware reminders for elder adults to take their medication. Experimental results show that our system can improve users' medication adherence in an efficient and flexible way