IoT Missed Event Notification Management
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Solution Overview
Problem
Current IoT reminder systems fail to assess the importance of missed events, leading to unnecessary and repetitive notifications, which can annoy users and potentially overlook truly urgent events due to their complexity in providing notifications for all events.
Innovation Solution
A method and system that include a missed-event detection module, an importance module, and a prediction module to determine if a user needs to be notified about a missed event by analyzing appliance settings and environment properties, predicting the necessity of notification based on attribute reports, and managing notifications accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If IoT appliances provide repetitive reminders to users after task execution, then users are ensured to attend to executed commands, but users may get annoyed and experience degraded user experience
Solution Approach 1:
The system dynamically changes the notification parameter (whether to send reminder) based on the importance score calculated from multiple attributes. Instead of always sending repetitive reminders, the system adjusts the notification behavior by computing an importance score considering factors like event type, user availability, and task urgency, thereby reducing unnecessary reminders while maintaining reliable task completion for important events.
2Loss of information
If IoT systems provide notifications for all missed events, then no important events are missed, but truly urgent events may be lost in the shuffle due to too many notifications
Solution Approach 1:
The system changes the notification parameter by computing an importance score for each missed event based on multiple attributes including event type, user availability, and task characteristics. This scoring mechanism transforms the notification strategy from treating all events equally to selectively notifying based on computed importance, thereby preventing notification overload while ensuring urgent events are not lost.
Solution Approach 2:
The importance scoring mechanism acts as an intermediary between the notification system and the user. Instead of directly sending all notifications to the user, the system first processes events through the importance evaluation module which considers multiple attributes and computes a score. This intermediary layer filters and prioritizes notifications, preventing direct notification overload while maintaining information completeness for important events.
3Loss of time
If existing systems prioritize reminders based on user history or busy state, then reminder timing is optimized, but the system does not consider the nature of the reminder to check its importance at present time
Solution Approach 1:
The system implements a multi-functional importance evaluation module that considers multiple attributes including event type, user availability, task urgency, and environmental context. This universal approach combines various assessment dimensions into a single importance score, making the notification system adaptable to different event types and situations while maintaining efficient timing based on user state.
Solution Approach 2:
The importance scoring mechanism is dynamic and adapts to the current situation by considering real-time attributes such as user availability and event characteristics. Instead of using static prioritization rules, the system dynamically computes importance scores based on current context, thereby achieving both efficient timing and adaptability to different event natures.
Data Source
AI summary
A method and a system for managing a notification for missed events in an Internet of things (IoT) environment are provided. The method includes determining at least one missed event in response to a user command to an IoT appliance after an expiry of a threshold wait time, determining a plurality of attributes associated with at least one of appliance settings and environment properties after the detection of at least one missed event based on a processing of the user command to obtain an attribute report corresponding to the plurality of attributes respective to each of the IoT appliance, predicting a requirement for notifying the user with respect to the determined at least one missed event based on the attribute report, and managing the notification corresponding to the at least one missed event based on the predicted requirement for notifying the user.