Conversation System Privacy Channel Switching
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Solution Overview
Problem
Conversation systems used in public environments are susceptible to privacy violations, as users engage in sensitive information exchanges over open channels, increasing the risk of information theft and misuse.
Innovation Solution
A computer-implemented method and system that detects the privacy nature of user utterances in conversation systems, generates a privacy question based on classification confidence, and dynamically switches between public and private communication channels upon user confirmation, ensuring sensitive information is transferred to a secure channel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conversation systems use public channels for communication, then ease of operation and accessibility are improved, but privacy protection deteriorates
Solution Approach 1:
The system dynamically switches communication channels based on the detected privacy nature of utterances. The conversation system transitions from public channels to private channels when sensitive information is detected, and vice versa, making the channel selection adaptive rather than static.
Solution Approach 2:
The system introduces a privacy classifier as an intermediary component that analyzes utterances and determines their privacy nature. This classifier acts as a mediator between the user's speech and the communication channel selection, enabling intelligent channel switching based on content analysis.
2Object-affected harmful factors
If the system switches to private channels for all communications, then privacy protection is improved, but device complexity and operational overhead increase
Solution Approach 1:
The system applies different privacy levels to different parts of the conversation based on the specific utterance content. Only utterances classified as having private nature trigger a switch to private channels, while non-private communications continue on public channels, creating localized privacy protection rather than universal application.
Solution Approach 2:
The system automatically detects the privacy nature of utterances and makes channel switching decisions without requiring user intervention. The privacy classifier and channel switching logic operate autonomously, reducing the operational burden on users while maintaining privacy protection.
3Object-affected harmful factors
If the system frequently switches between public and private channels, then privacy protection is improved, but loss of time and communication efficiency worsen
Solution Approach 1:
The system establishes private channels in advance when needed, rather than creating them on-demand during sensitive communications. By proactively setting up private channels before private conversations occur, the system avoids the time delay of channel establishment during critical moments.
Solution Approach 2:
The system merges multiple private utterances into a single continuous private channel session. Instead of switching channels for each individual private utterance, the system maintains a sustained private channel for the duration of sensitive communications, reducing the frequency of switches and associated time losses.
Data Source
AI summary
A method, system, and computer program product for managing communication privacy in a conversation system are provided. The method detects an utterance on a public channel by a user of a computing device. A privacy nature of the utterance is determined. Based on the privacy nature, a classification confidence is determined for the utterance. The method generates a privacy question to be presented to the user based on the privacy nature and the classification confidence. In response to a confirmation response, a privacy channel is established. The method switches from the public channel to the privacy channel.