Virtual World Chat Voice Segmentation for Private-Content Protection
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Solution Overview
Problem
In virtual chat groups, users outside the group cannot gauge the engagement level or topic progression, leading to unsatisfactory experiences, and current privacy solutions prevent voice sharing entirely, making the virtual environment unnatural.
Innovation Solution
Implement a system that captures and analyzes user voices within a private chat group, generating intonation and de-content pronunciations, broadcasting these to group members while outputting manipulated pronunciations to outsiders, maintaining privacy and natural interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If voice sharing is completely prevented to protect privacy, then user privacy is improved, but the virtual environment becomes unnatural and user experience deteriorates
Solution Approach 1:
The patent segments voice data into two distinct components: content (semantic meaning) and intonation (emotional expression). By separating these elements, the system can selectively process and transmit different parts of the voice data to different user groups, enabling privacy protection for content while allowing emotional expression to be shared with outsiders.
Solution Approach 2:
The patent applies different quality treatments to different parts of the voice data based on the recipient. Group members receive the complete voice data with both content and intonation, while outsiders receive only the intonation component. This local differentiation of data quality resolves the contradiction by providing appropriate information to each group.
2Reliability
If complete voice privacy is enforced, then sensitive data protection is improved, but external users cannot gauge engagement level or topic progression
Solution Approach 1:
The patent extracts the intonation component from the complete voice data and separates it from the content. This extracted intonation component is then specifically transmitted to outsider users, allowing them to perceive engagement levels and emotional states without accessing the actual conversation content, thus resolving the information loss problem while maintaining data protection.
Solution Approach 2:
The intonation data serves as an intermediary that conveys engagement information to outsiders without revealing sensitive content. This intermediary element bridges the gap between privacy protection and information sharing, allowing outsiders to gauge engagement levels through emotional cues without accessing protected data.
3Ease of operation
If voice content is shared with outsiders, then natural interaction is improved, but sensitive voice data privacy is compromised
Solution Approach 1:
Instead of sharing complete voice data and then filtering it, the patent inverts the approach by extracting and sharing only the intonation component with outsiders, while keeping the content component private. This inversion allows natural interaction through emotional expression without compromising content privacy.
Data Source
AI summary
In an approach to improve the privacy of chat groups within a virtual world, in response to identifying a private chat group has been created between two or more users, embodiments collect, by an internet of things (IoT) sensor set, a voice for each user in the private chat group. Further, embodiments analyze, by an analysis module, the collected voice, an intonation associated with the collected voice and an original pronunciation associated with the collected voice, and generate a de-content pronunciation based on the analysis of the collected voice, the intonation, and the original pronunciation. Additionally, embodiments output, by the IoT sensor set, the intonation and the original pronunciation to the two or more users in the private chat group and output, by the IoT sensor set and a client computer, the intonation and the de-content pronunciation to one or more users outside the private chat group.