Privacy Analysis Module for Mobile Location Data Uncertainty
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Solution Overview
Problem
The increasing concern about user privacy due to the collection and use of location data by portable electronic devices and applications, which can reconstruct a user's path without consent, necessitates an evaluation of the precision and uncertainty of this data collection.
Innovation Solution
An apparatus and method that evaluates location data collected by applications on a user device to determine the uncertainty of the device's location and movement over time, using a privacy analysis module to store and analyze data from various applications, calculating the precision of user path reconstruction based on sampling rate, terrain, and data accuracy, and providing visual indications of privacy monitoring results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If applications periodically poll the user's device for location information to improve service functionality, then the service quality is improved, but user privacy is compromised
Solution Approach 1:
The patent introduces a privacy analysis module as an intermediary between location data collection and application usage. This module evaluates location data, determines uncertainty levels, and provides visual indicators to users about their privacy exposure, thereby mediating between service functionality and privacy protection without completely blocking data flow
Solution Approach 2:
The system implements feedback by providing visual indicators to users that show the precision and uncertainty of their location data. This feedback loop allows users to understand their privacy implications and make informed decisions about application permissions, balancing service functionality with privacy awareness
2Measurement precision
If precise location data is collected to improve application accuracy, then application performance is improved, but the ability to protect user privacy is reduced
Solution Approach 1:
The patent applies partial action by collecting and evaluating location data only to the extent necessary to provide useful service, while using the privacy analysis module to determine the minimum precision required. The system provides visual indicators that show users the actual precision level being used, allowing them to understand whether the data collection exceeds what is truly necessary
Solution Approach 2:
The privacy analysis module serves as an intermediary that sits between the high-precision location data collection and the applications that use it. This module evaluates the data, determines uncertainty levels, and can provide anonymized or rounded location information to applications when appropriate, thereby maintaining service functionality while protecting privacy
3Adaptability or versatility
If multiple applications collect location data simultaneously to provide comprehensive services, then service coverage is improved, but the complexity of privacy management increases
Solution Approach 1:
The patent merges the privacy evaluation function into a single centralized privacy analysis module that handles location data from multiple applications. Instead of requiring users to manage privacy settings for each application separately, this unified module evaluates all location data collectively and provides overall privacy indicators, thereby reducing management complexity while maintaining comprehensive service coverage
Data Source
AI summary
Privacy evaluation in a mobile electronic device. Location data collected by one or more applications operating on the electronic device is evaluated to determine the precision with which a user's location and movements can be reconstructed based on the location data collected by one or more of the applications. Information relating to such precision may be presented to the user, suitably by a graphic display representing a circle or ellipse within which the user's movement cannot be determined or a set of streets within which the user's movement cannot be determined.