Privacy Policy Asset Segmentation Optimization
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Solution Overview
Problem
Users often skip or struggle to comprehend lengthy and complex text-based privacy policies due to verbosity and legal jargon, making effective communication of privacy policies challenging between online services and users.
Innovation Solution
A method and system for sequencing asset segments of a privacy policy using optimization techniques, which involves receiving input with asset segments and constraints, generating a basic sequence, and optimizing it based on preferences of both the source and target entities to minimize violation factors, thereby determining an optimal sequence for displaying privacy policies in a user-friendly format.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If text-based privacy policy content is used to ensure comprehensive information disclosure, then the completeness of information is improved, but the comprehensibility and user engagement deteriorate due to verbosity and legal jargon
Solution Approach 1:
The privacy policy is divided into multiple asset segments that can be independently sequenced and presented. This segmentation allows the complete information to be broken down into manageable, comprehensible units that users can process more effectively while maintaining all necessary disclosure requirements.
Solution Approach 2:
The system dynamically sequences asset segments based on optimization techniques that consider user preferences and comprehension needs. This dynamic arrangement adapts the presentation order to maximize user engagement and understanding while preserving the complete information set.
2Reliability
If comprehensive privacy policy content is provided to meet organizational requirements, then the source entity preferences are satisfied, but the target entity (user) engagement and understanding decrease due to complexity
Solution Approach 1:
The system changes the parameter of information presentation by optimizing the sequence of asset segments based on both source entity requirements and target entity comprehension needs. This parameter optimization maintains organizational compliance while enhancing user engagement through improved readability and structure.
Solution Approach 2:
The optimization technique incorporates feedback from both source entity preferences and target entity characteristics to determine the optimal sequencing of asset segments. This feedback mechanism ensures organizational requirements are met while simultaneously improving user engagement and comprehension.
3Ease of manufacture
If the privacy policy is presented in traditional text-based format to maintain simplicity of delivery, then the ease of implementation is improved, but the user comprehension and interest deteriorate
Solution Approach 1:
By segmenting the privacy policy into discrete asset segments, the system maintains the simplicity of digital delivery while dramatically improving user comprehension. The segmented structure allows for optimized presentation that keeps implementation straightforward while enhancing user understanding through better organization and sequencing.
Data Source
AI summary
The disclosure relates to a method and a system for sequencing asset segments of privacy policy using optimization techniques. The asset segments are sequenced based on several constraints associated with preferences of a source entity and a target entity. Further the disclosure also determines a target entity violation factor that represents a conflict between the preferences associated with the source entity and the target entity. In an embodiment the disclosed method and system optimally sequences the plurality of asset segments using several optimization techniques that include a basic sequence generation technique, a source entity sequence optimizing technique and a target entity sequence optimizing technique considering constraints. Hence the disclosure bridges a communication gap between several stakeholders by optimally displaying the most relevant privacy policy (mapped to the asset segments) considering the constraints or preferences associated with both the source entity and the target entity.