Sensor-Based Notification Intensity Control for Context-Aware Alerts
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Solution Overview
Problem
Conventional computing devices require manual adjustment of notification intensity levels, which is cumbersome and inconvenient, failing to adapt to changing environments and user preferences effectively.
Innovation Solution
The use of device sensors such as microphones, cameras, orientation sensors, and location sensors to automatically determine and adjust notification intensity levels based on environmental characteristics, user state, and preferences, employing a predictive model to set appropriate notification levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual configuration of notification intensity levels is used, then user control over notification settings is maintained, but user convenience and ease of operation deteriorates due to cumbersome adjustment requirements
Solution Approach 1:
The notification system automatically adjusts intensity levels by detecting environmental conditions and user states through sensors, eliminating the need for manual user configuration. The system serves itself by making intelligent decisions about appropriate notification levels based on real-time context.
Solution Approach 2:
The system continuously monitors environmental conditions (light levels, noise, location) and user state (activity recognition, device handling) through sensors, uses this feedback to dynamically adjust notification intensity levels, and adapts to user preferences over time through learned behavior patterns.
2Adaptability or versatility
If automatic sensor-based adjustment is implemented, then adaptability to environmental conditions improves, but device complexity increases due to additional sensors and processing requirements
Solution Approach 1:
Existing device sensors (light sensors, microphones, GPS, accelerometers, cameras) that serve other primary functions are repurposed to detect environmental conditions for notification adjustment. This multi-functional use of sensors increases adaptability without requiring dedicated hardware additions.
Solution Approach 2:
The patent combines data from multiple existing sensors (light level, noise, location, motion, camera input) into a unified notification intensity decision-making process. By merging these sensor inputs, the system achieves high adaptability using already-present device components.
3Measurement precision
If multiple sensors are used for environmental detection, then measurement precision of environmental characteristics improves, but device complexity and cost increase
Solution Approach 1:
The system uses existing multi-functional sensors already present in modern devices (light sensors for ambient light detection, microphones for noise level detection, GPS for location-based context) to achieve precise environmental characterization without adding dedicated measurement hardware.
Solution Approach 2:
Multiple sensor data streams (light, sound, location, motion, visual input from camera) are merged and processed together to create a comprehensive environmental model. This fusion of existing sensor data achieves high measurement precision while avoiding the complexity of individual specialized sensors.
4Productivity
If manual adjustment of notification levels is required, then energy consumption is reduced, but user time and productivity are negatively impacted due to frequent manual interventions
Solution Approach 1:
The system proactively detects environmental conditions and user states in advance and automatically adjusts notification intensity levels before notifications are needed. This preliminary adjustment eliminates the need for reactive manual user intervention, improving productivity while managing energy consumption through efficient sensor usage.
Data Source
AI summary
A computing device can utilize one or more sensors to capture data associated with a current environment, state, condition, property, etc. of the device. Based at least in part on the captured data, the current environment, state, condition, property, etc. of the computing device can be determined or identified. Based on the determined/identified current environment, state, condition, property, etc., the computing device can configure the notification intensity level for the device. The device can determine a suitable notification intensity level and set that notification intensity level for the device. An incoming communication received at the computing device while the device is still associated with the determined/identified current environment, state, condition, property, etc. can cause a notification to be outputted at the set notification intensity level.