Home Appliance Command Control Using Generative AI Interpretation
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Solution Overview
Problem
Existing home appliance control methods through natural language commands face challenges in accurately interpreting user intent due to variability in human speech, leading to ambiguity and incorrect command execution, and are constrained by rigid predefined command structures that hinder seamless user interaction.
Innovation Solution
A method and device that dynamically interpret a wide range of natural language inputs, adapt to individual user speech patterns, and accurately translate ambiguous commands into precise device operations using a generative AI module to determine command categories and generate control commands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If natural language commands are used for controlling home appliances, then user interaction flexibility is improved, but command interpretation accuracy deteriorates due to speech variability and ambiguity
Solution Approach 1:
The patent introduces an intermediary processing system that includes speech-to-text conversion, natural language interpretation modules, and command generation components. This intermediary layer translates variable natural language inputs into standardized control commands, mediating between the flexibility of natural language and the precision required for accurate device control.
Solution Approach 2:
The system incorporates feedback mechanisms where the interpreted command and generated control signal are reviewed and adjusted based on confidence scores and validation checks. This feedback loop allows the system to refine its interpretation of natural language commands, improving accuracy while maintaining flexibility.
2Reliability
If predefined command structures are used, then command recognition reliability is improved, but system adaptability deteriorates due to rigid structures
Solution Approach 1:
The patent implements a dynamic command structure where the system can adapt its interpretation approach based on the input received. Rather than using fixed rigid structures, the system dynamically selects processing paths and adjusts its interpretation strategy based on confidence levels, command types, and contextual information, maintaining reliability while gaining adaptability.
Solution Approach 2:
The system employs a universal command processing framework that can handle multiple types of inputs (voice, text, gestures) and translate them into standardized control commands. This multi-functional approach allows the system to maintain reliable standardized output while adapting to various input formats and user preferences.
3Ease of operation
If speech-to-text conversion is used, then voice command input is improved, but recognition errors increase due to speech variability
Solution Approach 1:
The system performs preliminary processing of speech inputs including noise filtering, speech-to-text conversion with multiple candidate generation, and preliminary intent classification before final command determination. This preliminary action allows the system to prepare multiple potential interpretations and select the most accurate one, improving recognition precision while maintaining voice input convenience.
Data Source
AI summary
A method for controlling an electronic device can include receiving a user input, in response to the user input corresponding to the direct control command, and executing a function corresponding to the direct control command. Also, the method can include in response to the user input corresponding to the non-direct control command, extracting, at least one sample text from a database having a similarity score relative to the user input that is greater than or equal to a predetermined threshold, and providing a prompt to a generative artificial intelligence (AI) module, the prompt including the user input, a guide associated with a command category, and the at least one sample text, receiving, from the generative AI model, a result based on the prompt for generating a control command, the result including an interpreted command category, and executing, by the electronic device, a function corresponding to the control command.