Dynamic Location Blurring for Privacy Protection
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Solution Overview
Problem
Location-based services often require users to share precise location information, which can infringe on privacy, especially in private or sensitive locations, as existing systems do not allow for flexible control over the level of location accuracy shared.
Innovation Solution
A system that enables users to set a blur level and conditions for reporting location coordinates, allowing for the obscuration of precise location information and reporting it in a more general area when certain conditions are met, such as being at home or in a private location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If precise location coordinates are transmitted to share entity location, then location accuracy is improved, but user privacy is compromised
Solution Approach 1:
The system dynamically changes the precision parameter of location coordinates based on contextual conditions. When a sensitive location is detected, the system transforms precise coordinates into blurred coordinates with reduced precision, thereby maintaining location accuracy in public contexts while protecting privacy in sensitive contexts.
Solution Approach 2:
The blur level applied to location coordinates is not static but dynamic, adjusting automatically based on the detected context. The system continuously evaluates whether the entity is in a sensitive location and modifies the location precision accordingly, transitioning between precise and blurred states as needed.
2Object-affected harmful factors
If location blur level is increased to protect privacy, then privacy protection is improved, but location information accuracy deteriorates
Solution Approach 1:
Different blur levels are applied locally based on the specific context. Instead of uniformly blurring all location data, the system applies privacy protection only when the entity is in sensitive locations, maintaining full accuracy in non-sensitive contexts while providing localized privacy protection where needed.
Solution Approach 2:
The system dynamically adjusts the blur level parameter based on the detected context. When a sensitive location is identified, the blur level parameter is increased to protect privacy; otherwise, the blur level is reduced or eliminated to maintain location accuracy.
3Adaptability or versatility
If conditional blur settings are implemented, then user control over privacy is improved, but system complexity increases
Solution Approach 1:
The system automatically detects sensitive locations and applies appropriate blur levels without requiring continuous user intervention. Users define their sensitive locations and preferences in advance, and the system autonomously evaluates contexts and applies privacy protection, reducing the complexity of real-time user decisions.
Solution Approach 2:
The system continuously monitors location data and context, providing feedback to determine when blur should be applied. This automated feedback loop allows users to set preferences once while the system handles ongoing privacy management, balancing user control with system automation.
Data Source
AI summary
Systems, methods, and machine-readable media for blurring location information for an entity. The system may be configured to receive a location display setting comprising a condition and a blur level to apply to location coordinates, receive location coordinates for an entity, determine whether the condition is satisfied based on the location coordinates, and, if the condition is satisfied, report location information for the entity in a mapping interface based on the location coordinates for the entity and the blur level.