Speech-Driven Quick Messaging in Three-Dimensional Environments
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Solution Overview
Problem
Existing methods for interacting with computer-generated environments, such as augmented and mixed reality, are cumbersome, inefficient, and require multiple inputs, leading to a significant cognitive burden on users and wasting energy.
Innovation Solution
The system provides improved methods and interfaces for interacting with computer-generated experiences, reducing the number and complexity of user inputs by enhancing visual feedback and allowing for more intuitive interactions, such as through speech input and hand or eye tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional input methods are used for interacting with virtual elements, then the system can process user inputs, but the interaction becomes cumbersome and creates significant cognitive burden on users
Solution Approach 1:
The patent replaces conventional mechanical input devices (keyboards, mice, controllers) with direct neural interface technology that detects and interprets neural signals directly from the user's brain. This substitution eliminates the need for complex manual input sequences and reduces cognitive burden by enabling direct thought-to-action communication with the system.
Solution Approach 2:
The patent introduces a neural interface system as an intermediary between the user's neural signals and the computer system. This intermediary component translates neural patterns into meaningful commands, bridging the gap between internal neural activity and external system control without requiring complex user interaction protocols.
2Productivity
If multiple input steps are required to achieve a desired outcome, then the system can perform complex operations, but the interaction takes longer than necessary and wastes energy
Solution Approach 1:
The patent enables preliminary neural signal detection and interpretation to occur continuously or in anticipation of user intent, allowing the system to prepare for upcoming commands before they are fully formed. This reduces the time required for interaction by having the system ready to execute actions as soon as the neural decision is made, eliminating sequential processing delays.
Solution Approach 2:
The patent maintains continuous neural signal monitoring and processing, allowing the system to constantly interpret user intent without requiring discrete input steps. This continuous action approach eliminates idle time between inputs and maintains productive interaction flow, reducing overall interaction time while conserving energy by processing only relevant neural signals.
3Reliability
If conventional feedback mechanisms are provided for user actions, then the system can confirm operations, but the feedback is insufficient for performing actions associated with virtual objects
Solution Approach 1:
The patent implements a enhanced feedback loop where the system continuously monitors neural signals and provides real-time feedback about detected intents, recognized commands, and system responses directly to the user's neural interface. This multi-layered feedback mechanism ensures users have sufficient information about system state and action recognition, improving reliability while preventing information loss through comprehensive neural feedback channels.
Data Source
AI summary
In some embodiments, a computer system facilitates user input for sending a quick message to a respective user based on speech input provided by a user of the computer system in the three-dimensional environment. In some embodiments, a computer system facilitates user input for sending an audio message including an animated representation of the user of the computer system to a respective user based on speech input provided by the user.


