Doubt Removal for Dependant People From Tablet Computer Usage Monitoring
Résumé
This article describes an agent which detects and handle potentially abnormal situations from the monitoring of applications usage on a tablet computer. The main purpose of this agent is is to improve dependent people's safety by signaling potentially risky situations to caregivers. Indeed, such signaling can improve response time, thus reducing the consequences of such situations. The detection of abnormal situation is based on the construction of a user profile from the monitoring of used applications. When a user is inactive during a certain period of time, the recent activity is compared to the learned user's profile to decide if this is normal or not. Once an abnormal situation has been identified, the system will try to confirm that the situation is actually abnormal by prompting the user for input. In order to be as less intrusive as possible, the input request is an application suggestion. The suggested application will be the one that is usually the most used during the time period corresponding to the inactivity. When an situation is confirmed as abnormal, the tablet agent will send an intervention request to the user caregivers. A simple coordination mechanism aimed at reducing redundant interventions and improving caregivers response time is proposed.