Voice Interactive System Context-Aware Task Execution
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Solution Overview
Problem
Current electronic devices face limitations in providing various services and feedbacks in response to voice commands, as they struggle to interpret and execute complex tasks associated with context information, and often require modifications to legacy systems to function effectively.
Innovation Solution
An artificial intelligence voice interactive system that recognizes voice commands, interprets them based on context information, and performs associated tasks, providing audio and video feedback through various devices without modifying legacy systems, by using a user interactive device, central server, and external service servers connected via a communication network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If electronic devices use basic speech recognition technology, then simple tasks can be performed, but various types of services and complex tasks cannot be provided
Solution Approach 1:
The system is divided into multiple independent components: speech recognition module, natural language understanding module, task execution module, and feedback generation module. Each module handles specific functions, allowing the system to provide diverse services without requiring complete system redesign for each new service type.
Solution Approach 2:
A natural language understanding module acts as an intermediary between speech recognition and task execution. This mediator interprets user intent, manages context information, and coordinates between different components, enabling complex service orchestration while maintaining modular architecture.
2Manufacturing precision
If voice commands are interpreted without context information, then processing is simple, but accurate task execution cannot be achieved
Solution Approach 1:
Context information is collected and maintained in advance during the interaction session. The system proactively gathers device state, user preferences, and conversation history before task execution, enabling accurate interpretation of voice commands without requiring complex real-time analysis.
Solution Approach 2:
The system continuously updates context information based on user responses and system actions. This feedback loop refines the understanding of user intent over time, improving task execution accuracy while maintaining a manageable processing framework through iterative refinement.
3Adaptability or versatility
If legacy systems are modified to support voice interaction, then voice commands can be executed, but system modification and maintenance become complex
Solution Approach 1:
A task execution module serves as an intermediary layer between the voice processing system and legacy systems. This mediator translates natural language commands into standard control signals that legacy systems can understand, enabling voice interaction without modifying the underlying legacy systems.
Solution Approach 2:
Instead of modifying legacy systems directly, the system creates virtual representations or wrappers around legacy system interfaces. These copies provide standardized access points that the voice processing system can interact with uniformly, regardless of the underlying system's native interface complexity.
4Ease of operation
If only audio feedback is provided, then system simplicity is maintained, but user engagement and information delivery are limited
Solution Approach 1:
The feedback system is designed to provide multiple types of output (audio, visual, haptic) through a unified interface. The same task execution module that processes voice commands also coordinates diverse feedback modalities, allowing the system to adapt feedback type based on task requirements without requiring separate control systems for each modality.
Data Source
AI summary
An artificial intelligence voice interactive system may provide various services to a user in response to a voice command. The system may perform at least one of: receiving user speech from a user; transmitting the received user speech to the central server; receiving at least one of control signals and audio and video answers, which are generated based on an analysis and interpretation result of the user speech, from at least one of the central server, the internal service servers, and the external service servers; and outputting the received audio and video answers through at least one of speakers and a display coupled to the user interactive device and controlling at least one device according to the control signals.