Agent Based Intelligent Alert System for Smart-Phones
This addresses the issue of notification overload and safety for smartphone users, but it appears incremental as it builds on existing alert methods using survey data.
The paper tackles the problem of managing smartphone alerts by designing an agent that modifies and enhances alert systems to align with human cognitive responses, resulting in features like sorting notifications, ensuring safe conversations, tracking caller reachability, and smart alerting during situations like sleeping or low battery.
The paper deals with the design of an agent which modifies and enhances the various alert systems in the smartphones. The actions of the agent includes sorting the notifications abiding to human thinking, helping the user to have a safe conversation, assisting in tracking back the reach-ability status of the caller when needed, conveying the user about the notifications in times of situations like drained battery and smartly alerting the user in situations like sleeping. The agent uses the information gathered from a survey, to modify the existing methods of alerts and produce alerts which abide by the human cognitive responses.