Multiuser Session Privacy Control for Assistant Search Sharing
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Solution Overview
Problem
Current multiuser communication systems lack logic to determine whether information requested by a user should be shared publicly or privately within the session.
Innovation Solution
Implement a system that detects user invocation and search inputs to determine if information should be shared publicly, privately, or semi-publicly based on criteria such as hand gestures, gaze direction, and voice modulation, using a public-private interaction engine to manage interactions during a multiuser communication session.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If information is shared publicly with all users in a multiuser communication session, then group interaction and collaboration are enhanced, but user privacy and confidential information protection are compromised
Solution Approach 1:
The patent segments information sharing into distinct categories: public interactions visible to all users, private interactions visible only to the requesting user, and semi-public interactions visible to selected users. This segmentation allows the system to simultaneously protect privacy while enabling group collaboration by directing different types of information to appropriate audiences.
Solution Approach 2:
The system dynamically adjusts information sharing scope based on real-time detection of user inputs such as hand gestures, gaze direction, and voice modulation. The public-private interaction engine continuously monitors these inputs and adapts the distribution of information accordingly, transitioning between public, private, and semi-public sharing modes as needed.
2Reliability
If a system monitors multiple user inputs (hand gestures, gaze direction, voice modulation) to determine information sharing scope, then privacy and interaction control are improved, but system complexity increases
Solution Approach 1:
The public-private interaction engine serves multiple functions: detecting hand gestures, analyzing gaze direction, interpreting voice modulation, and determining information sharing scope. By consolidating these diverse detection and decision-making functions into a single multi-functional engine, the system achieves reliable interaction control without proportionally increasing overall system complexity.
Solution Approach 2:
The public-private interaction engine acts as an intermediary layer between various input detection mechanisms and the information distribution system. It receives signals from multiple sensors (gesture detectors, gaze trackers, voice analyzers), processes them centrally, and makes unified decisions about information sharing, thereby simplifying the architecture compared to having separate systems for each function.
Data Source
AI summary
A method of invoking public and private interactions during a multiuser communication session includes presenting a multiuser communication session; detecting a user invocation input that corresponds to a trigger to a digital assistant; detecting a user search input that corresponds to a request for information; obtaining the information based on the request; presenting the information; in accordance with a determination that at least one of the user invocation input and the user search input satisfy first input criteria associated with a first request type: transmitting the information to other electronic devices for presentation to other users; and in accordance with a determination that at least one of the user invocation input and the user search input satisfy second input criteria associated with a second request type: forgoing transmitting the information to the other electronic devices for presentation to other users.