Context-Aware Wearable Notification Control Using Sound and Sensor Data
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Solution Overview
Problem
Wearable electronic devices struggle to effectively determine user context and deliver notifications due to reliance on external sound data alone, leading to reduced accuracy and notification effectiveness.
Innovation Solution
An electronic device that combines sound data from a wearable electronic device with sensor data to identify matching contexts, and adjusts notification methods based on the context, display state, and sound output of the wearable device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the wearable electronic device determines context based only on external sound data, then the device complexity is reduced, but the measurement precision of user context determination deteriorates
Solution Approach 1:
The patent combines sound data from the wearable electronic device with sensor data from the electronic device to determine user context. This merging of multiple data sources improves measurement precision while the automated integration process manages device complexity through systematic data fusion.
Solution Approach 2:
The system uses multiple data sources (sound data and sensor data) for a single purpose of context determination. This multi-functionality approach allows the system to gather comprehensive information about user context through diverse data types, improving accuracy without requiring separate systems for each data source.
2Ease of operation
If the wearable electronic device outputs only notification sound, then the ease of operation is improved, but the reliability of notification delivery deteriorates when user ignores auditory cues
Solution Approach 1:
The system dynamically adjusts notification delivery methods based on determined user context. When the user is determined to be in a state where they may ignore auditory notifications, the system automatically switches to visual notifications or adjusts volume, making the notification system adaptive and reliable across different user states.
Solution Approach 2:
The system uses sensor data to monitor user state and provides feedback to adjust notification delivery. This feedback mechanism ensures that notifications are delivered effectively by adapting to real-time user conditions, improving reliability while maintaining ease of operation through automatic adjustments.
3Reliability
If the electronic device displays notification message based on multiple parameters, then the reliability of notification delivery is improved, but the device complexity increases
Solution Approach 1:
The notification control logic is segmented into distinct decision stages: determining user context from combined data, evaluating display state, checking sound output status, and selecting appropriate notification method. This segmentation reduces overall complexity by breaking down the complex control logic into manageable, independent decision modules.
Solution Approach 2:
The system performs preliminary determination of user context and display state before executing notification delivery. By pre-evaluating these parameters and preparing appropriate notification methods in advance, the system reduces the complexity of real-time decision-making during actual notification delivery.
Data Source
AI summary
An electronic device is provided. The electronic device includes a communication circuit, a display, at least one sensor, and at least one processor. The at least one processor may be configured to obtain sound data regarding a surrounding environment from a wearable electronic device through the communication circuit, obtain sensor data through the at least one sensor, identify whether the surrounding environment matches one of a plurality of preset contexts, based on the sound data and the sensor data, and perform at least one of transmitting, to the wearable electronic device, a signal for controlling the wearable electronic device through the communication circuit or displaying a notification message on the display, based on the matching context, a state of the display, or whether the wearable electronic device is outputting a sound, in response to identifying that the surrounding environment matches one of the plurality of preset contexts.