Interaction-Learned Privacy Profiles for Mobile App Data Utility

Solution Overview

Problem

Existing data privacy solutions for mobile applications require manual user intervention and lack the ability to understand individual privacy and utility preferences, leading to inefficient and intrusive privacy settings that do not adapt to user behavior.

Innovation Solution

A method and electronic device that automatically personalize user data privacy and utility by monitoring interactions to create personalized privacy profiles, allowing customized privacy protections and interest-driven recommendations based on user preferences.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual privacy settings are required, then user control over privacy is improved, but user convenience and time efficiency deteriorate

Engineering Contradiction:

Improveuser control over privacyVSAvoidtime for manual configuration

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system automatically determines privacy protection characteristics by monitoring user interactions and generating privacy profiles without requiring manual user input. The electronic device self-configures privacy settings based on learned user behavior patterns, eliminating the need for users to manually configure privacy parameters while maintaining appropriate privacy control.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system continuously monitors user interactions with applications and content, using this feedback to dynamically adjust privacy protection characteristics. The electronic device learns from user behavior patterns over time and automatically updates privacy profiles, creating a closed-loop system that adapts to changing user needs without manual reconfiguration.

Inventive Principle:

Principle #23Feedback

2Reliability

If blanket privacy protection is applied, then privacy security is improved, but utility and user experience deteriorate

Engineering Contradiction:

Improveprivacy protectionVSAvoidutility and user experience

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The system applies different privacy protection characteristics to different content and applications based on their specific privacy sensitivity levels. Instead of uniform blanket protection, the electronic device selectively applies privacy measures only where needed, allowing utility functions to operate normally while protecting sensitive information according to the specific context and content type.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The privacy protection system is segmented into multiple privacy profiles (e.g., first privacy profile for sensitive content, second privacy profile for non-sensitive content). Each profile contains specific privacy protection characteristics tailored to the particular content or application, allowing fine-grained control that balances privacy security with utility requirements.

Inventive Principle:

Principle #1Segmentation

3Productivity

If interest-based advertising is allowed, then user experience and utility are improved, but privacy risk deteriorates

Engineering Contradiction:

Improveuser experienceVSAvoidprivacy risk

Core Design Contradiction:

ProductivityVSObject-affected harmful factors

Solution Approach 1:

The system applies different privacy protection characteristics to different content and applications based on their specific privacy sensitivity levels. Instead of uniform blanket protection, the electronic device selectively applies privacy measures only where needed, allowing utility functions to operate normally while protecting sensitive information according to the specific context and content type.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The privacy protection system is segmented into multiple privacy profiles (e.g., first privacy profile for sensitive content, second privacy profile for non-sensitive content). Each profile contains specific privacy protection characteristics tailored to the particular content or application, allowing fine-grained control that balances privacy security with utility requirements.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS12430465B2Method and electronic device for personalizing user data privacy and utility

Publication Date: 2025.09.30 SAMSUNG ELECTRONICS CO LTD

AI summary

A method for personalizing user data privacy associated with an application of an electronic device is provided. The method includes monitoring over time one or more user interactions associated with the application of the electronic device. Furthermore, the method includes determining a privacy parameter of the user and a utility preference of the user based on the monitored user interactions. Furthermore, the method includes generating a generic/content specific privacy profile of the user based on the determined privacy parameter of the user and utility preference of the user, determining a privacy protection characteristic of the user based on the generic privacy profile and/or the content specific privacy profile, and generating one or more personalized settings for a future user interaction associated with the application of the electronic device based on the privacy protection characteristic.