Context-Aware Audio Notification Privacy Protection
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Solution Overview
Problem
Audio notifications pose a risk to user privacy as they are often read aloud in public spaces, potentially exposing personal information to others.
Innovation Solution
A system that determines the surrounding context to generate abstracted messages with varying levels of information exposure, selecting the appropriate message based on the presence of people around the user and adjusting based on user feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the complete message is read aloud to the user, then the user receives full information, but personal information may be exposed to people around the user
Solution Approach 1:
The notification message is segmented into different portions with varying levels of sensitivity. The system identifies and separates personal information from general notification content, allowing selective presentation based on surrounding context. This segmentation enables the system to protect privacy while preserving essential information delivery.
Solution Approach 2:
The system dynamically adjusts the level of message abstraction based on real-time detection of surrounding people. When no one is detected nearby, the complete message is presented. When people are detected, the system dynamically modifies the message to remove or obscure personal information, creating a dynamic response to environmental conditions.
2Object-affected harmful factors
If the message is abstracted to protect privacy, then privacy is protected, but the user receives less information
Solution Approach 1:
Different portions of the message are treated with different levels of abstraction based on their sensitivity. Critical personal information is heavily abstracted or removed, while essential notification content is preserved in full. This local quality approach ensures that privacy protection is applied selectively only where necessary rather than uniformly across the entire message.
Solution Approach 2:
The system incorporates user feedback mechanisms where users can indicate when they want more detailed information. This feedback loop allows the system to adapt to user preferences and provide additional information when the user is alone or has indicated a need for complete details, balancing privacy protection with information needs.
3Object-affected harmful factors
If the system monitors surrounding context to determine exposure level, then privacy protection is optimized, but device complexity increases
Solution Approach 1:
The system uses the device's existing microphone and audio processing capabilities as an intermediary to detect surrounding people. Rather than adding complex camera-based or sensor-based presence detection systems, the patent leverages the already-present audio input hardware to determine whether someone is nearby, simplifying the implementation while maintaining effective privacy protection.
Data Source
AI summary
A method includes determining a presence of one or more people around a user and determining, based on the presence of the one or more people, an exposure level. The method also includes receiving a message for the user, the message comprising a first portion and a second portion and removing, based on the exposure level, the first and second portions from the message to produce a first message. The method further includes removing, based on the exposure level, the first portion from the message to produce a second message and presenting, based on the exposure level, the first message to the user. The method also includes receiving, from the user, feedback about the first message and presenting the second message to the user in response to the feedback.