Voice Recognition System with User Identity Confirmation
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Solution Overview
Problem
Existing voice recognition interactive systems lack effective safeguards against unintentional and malicious commands, particularly in noisy environments and multi-user settings, leading to potential safety hazards and inefficiencies.
Innovation Solution
A voice interactive system that includes a processor for receiving voice signals, a confirmation interface, and a user identification device, which determines confirmation criteria based on user identity and command type to prevent unwanted command execution, offering varying levels of safeguards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If Push-to-Talk or Talk-to-Talk systems are used to activate the voice recognition system, then the system provides some protection against unwanted commands, but the system becomes less efficient and more complex due to required physical or verbal actuation steps before each command
Solution Approach 1:
The system performs preliminary user identification and risk assessment before command execution. The processor identifies the user and determines a risk level associated with the user or command type, then applies appropriate confirmation requirements based on this pre-assessment. This preliminary action filters out unwanted commands while maintaining efficiency by not requiring confirmation for low-risk commands.
Solution Approach 2:
The system applies different confirmation requirements to different commands based on their risk level. High-risk commands (e.g., those that could cause harm) require confirmation, while low-risk commands execute without confirmation. This local differentiation of confirmation requirements optimizes both safety and efficiency by applying safeguards only where necessary.
2Ease of operation
If a single keyword is required to enable the device prior to issuing commands, then the system is easier to operate, but the system becomes vulnerable to unwanted commands when the keyword is known to unauthorized users
Solution Approach 1:
The system introduces an intermediary layer of user identification and risk assessment between the command issuance and command execution. Instead of directly executing commands after keyword recognition, the processor first identifies the user, determines their risk level, and then decides whether to execute the command or require additional confirmation. This intermediary layer maintains ease of operation while enhancing security.
Solution Approach 2:
The system dynamically adjusts the confirmation requirement based on the identified user and command characteristics. The confirmation criteria are not fixed but adapt based on real-time user identification and risk assessment, allowing the system to maintain simplicity for trusted users while providing security for potentially unauthorized users.
3Productivity
If the voice interactive system operates in a Free-to-Talk mode with no activation requirements, then the system is most efficient and responsive, but the system is highly susceptible to erroneous recognition and unwanted command performance in noisy environments
Solution Approach 1:
The system performs preliminary user identification and risk assessment before command execution. By identifying the user and determining their risk level in advance, the system can maintain responsive operation for trusted users while preparing appropriate confirmation mechanisms for potentially unauthorized users, thus balancing responsiveness with reliability.
Solution Approach 2:
The system applies different confirmation requirements to different commands based on their risk level. High-risk commands require confirmation while low-risk commands execute immediately, allowing the system to maintain high responsiveness for safe commands while providing safeguards for potentially harmful commands.
4Reliability
If confirmation requirements are applied to all commands regardless of type, then the system provides uniform protection against unwanted commands, but the system becomes inefficient and creates user friction
Solution Approach 1:
The system applies different confirmation requirements to different commands based on their risk level. High-risk commands (e.g., those that could cause harm) require confirmation, while low-risk commands execute without confirmation. This local differentiation of confirmation requirements optimizes both safety and efficiency by applying safeguards only where necessary.
Solution Approach 2:
The system changes the confirmation parameter dynamically based on the command characteristics and user identification. The confirmation requirement is not a fixed parameter but adapts based on the risk level associated with the specific command and user, allowing the system to maintain security where needed while maximizing efficiency where safe.
Data Source
AI summary
A system and method for voice recognition interaction is provided. The system can have a processor for receiving a voice signal and determining a command based on the voice signal. The system can also have a confirmation interface operably connected to the processor, where the confirmation interface is capable of receiving a confirmation signal from a user and providing the confirmation signal to the processor. The system can have a user identifying device for determining an identity of the user. The processor can determine a confirmation criteria based at least in part on the identity of the user or a type of the command. The satisfaction of the confirmation criteria can be applied to allow or prevent performance of the command.