Dynamic Disclosure Range Control via Interaction Frequency
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Solution Overview
Problem
Users face challenges in controlling information disclosure on social networking services (SNS) as they inadvertently share personal information with alienated parties, and existing solutions fail to dynamically adjust disclosure ranges based on changing user relationships.
Innovation Solution
An information disclosure system that calculates interaction frequencies between users and sets disclosure ranges accordingly, allowing for dynamic adjustment of information sharing based on the frequency of interaction, thereby limiting or expanding the disclosure of personal information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If information disclosure range is set statically by user per message, then user can manage information sharing in message units, but user cannot dynamically adjust disclosure range based on changing relationships with communicating parties
Solution Approach 1:
The system automatically calculates interaction frequencies and determines disclosure ranges without requiring continuous user intervention. The server autonomously monitors communication history, computes interaction metrics, and adjusts disclosure settings based on predefined policies, enabling the system to serve itself in managing information privacy.
Solution Approach 2:
The system establishes a feedback loop where communication history is continuously monitored, interaction frequencies are calculated, and disclosure ranges are adjusted based on these calculations. This closed-loop mechanism ensures that information disclosure settings automatically adapt to changing relationship dynamics between users.
2Reliability
If user pays thorough attention to information share state, then personal information leakage can be prevented, but user's attention and management burden increase significantly
Solution Approach 1:
The system automatically protects user information by monitoring communication patterns and adjusting disclosure settings without requiring constant user attention. The server autonomously identifies potential leakage risks based on interaction frequency changes and applies appropriate disclosure restrictions.
Solution Approach 2:
The server acts as an intermediary between the user and the information disclosure process. It automatically manages the complex task of monitoring communication history and adjusting settings, freeing the user from this burden while maintaining reliable protection against information leakage.
3Reliability
If interaction frequency calculation and dynamic disclosure range setting is implemented, then information leakage to alienated parties is prevented, but system complexity and processing requirements increase
Solution Approach 1:
The system segments the information disclosure control into distinct functional modules: communication history storage, interaction frequency calculation, policy determination, and setting adjustment. This modular segmentation simplifies the overall complexity by breaking down the complex task into manageable, independent components that can be processed separately.
Solution Approach 2:
The server acts as an intermediary that handles the complex calculations and processing requirements. By centralizing these functions on the server side, the complexity is managed in a controlled environment with sufficient computational resources, while user-facing interfaces remain simple.
Data Source
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AI summary
The present application relates to an information disclosure system including an information disclosing unit; a setting unit; a history storage unit; and an interaction frequency calculating unit. The information disclosing unit discloses at least part of user's information as disclosure information to a communicating party. The setting unit sets a disclosure range for disclosing the user's information as the disclosure information. The history storage unit stores a history of communication between the user and the communicating party. The interaction frequency calculating unit calculates an interaction frequency between the user and the communicating party based on the history of the communication. The setting unit sets the disclosure range based on the interaction frequency calculated by the interaction frequency calculating unit.