Context-Aware Notification Delivery via Sensor Feedback
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional notification systems in devices often disrupt human interactions by providing default notifications without considering the user's context, requiring users to manually adjust settings, which can be challenging and ineffective in predicting notification contexts.
Innovation Solution
The system detects if the user is interacting with others using sensors and a rule set, modifying notification types, such as changing amplitude, mode, or timing, and employs biometric identification and machine learning to determine the relevance of notifications based on the user's interactions and surroundings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If default notifications are provided in real time, then notification speed and responsiveness are improved, but user experience deteriorates due to disruptions during human interactions
Solution Approach 1:
The notification system dynamically adjusts its behavior based on real-time detection of user context. Sensors continuously monitor whether the user is engaged in human interaction, and the system adapts notification delivery accordingly - providing immediate notifications when the user is alone and delaying or suppressing them when interaction is detected, thus resolving the contradiction between speed and avoiding interruptions
Solution Approach 2:
The system uses sensor feedback (proximity sensors, microphones, cameras) to detect user context and adjusts notification delivery based on this feedback. The feedback loop continuously monitors user state and modifies notification behavior in real-time, allowing the system to maintain high responsiveness when appropriate while avoiding interruptions when the user is engaged in conversations
2Adaptability or versatility
If manual adjustment of notification settings is required, then notification customization is improved, but ease of operation deteriorates due to the challenge of predicting notification contexts
Solution Approach 1:
The system performs self-service by automatically detecting user context through sensors and autonomously adjusting notification delivery without requiring manual user intervention. The device monitors its own usage patterns and environmental context, then automatically applies appropriate notification strategies, eliminating the need for users to manually predict and configure settings for different situations
Solution Approach 2:
Sensor technology acts as an intermediary between the user and the notification system. Instead of requiring direct user input to configure notifications, sensors indirectly detect user context (proximity of others, ambient noise, visual cues) and translate this into appropriate notification behavior, making the system both customizable and easy to operate
Data Source
AI summary
One embodiment provides a method, including: detecting, at an electronic device, an event has occurred; detecting, using a device sensor, that the electronic device is proximate to at least one other person; accessing, in a storage location, a rule set including a rule regarding the detecting that the electronic device is proximate to at least one other person; identifying, using a processor of the electronic device, a type of notification for the event based on the rule set; and providing, using an output device of the electronic device, a notification of the type identified. Other aspects are described and claimed.