Electronic Device Speech Confirmation Before Task Execution
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Solution Overview
Problem
Electronic devices may unintentionally perform tasks intended by a user's speech, particularly those related to privacy or security, leading to potential privacy invasion or security vulnerabilities.
Innovation Solution
An electronic device is equipped with a mechanism to determine if a user speech requires confirmation and generates a question for user verification, using security scores and authentication methods to ensure intended tasks are performed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the electronic device performs tasks through user speech without confirmation, then the ease of operation is improved, but the reliability deteriorates due to unintended task execution
Solution Approach 1:
The patent introduces a confirmation mechanism as an intermediary between speech recognition and task execution. When a speech input is received, the system generates a confirmation question (e.g., 'Did you say...?') that must be verified before the task is executed. This mediator layer prevents direct execution of potentially unintended tasks while maintaining the convenience of speech-based operation.
Solution Approach 2:
The system performs preliminary verification by generating and presenting a confirmation question before executing the task. This preliminary action allows the user to verify that the system correctly interpreted their speech intent, preventing unintended task execution while maintaining ease of operation through speech input.
2Productivity
If the electronic device performs tasks without user confirmation, then the productivity is improved, but the object-affected harmful factors increase due to privacy invasion and security vulnerabilities
Solution Approach 1:
The patent applies preliminary anti-action by implementing a confirmation mechanism that actively prevents harmful actions before they can occur. The system generates a confirmation question that must be positively verified before executing tasks, thereby preventing unintended task execution that could lead to privacy invasion or security vulnerabilities while maintaining productivity through efficient speech-based operation.
3Reliability
If the electronic device asks for user confirmation before task execution, then the reliability is improved, but the ease of operation deteriorates due to additional confirmation steps
Solution Approach 1:
The patent replaces traditional mechanical confirmation methods (such as physical buttons or complex menu navigation) with speech-based confirmation. The system generates a natural language confirmation question that the user can verify through speech, making the confirmation process as convenient as the original speech input and maintaining ease of operation while improving reliability.
4Productivity
If the electronic device implements speech-based task execution, then the productivity is improved, but the object-generated harmful factors increase due to unintended task execution
Solution Approach 1:
The patent implements a feedback mechanism where the system generates a confirmation question that reflects the interpreted speech input and presents it to the user for verification. This feedback loop allows the user to confirm or correct the system's understanding before task execution, preventing unintended actions while maintaining the productivity benefits of speech-based operation.
Data Source
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AI summary
An electronic apparatus and a control method are provided, including an input interface, a communication interface, a memory including at least one command, and at least one processor configured to control the electronic device and execute the at least one command to receive a user speech through the input interface, determine whether or not the user speech is a speech related to a task requiring user confirmation by analyzing the user speech, generate a question for the user confirmation when it is determined that the user speech is the speech related to the task requiring the user confirmation, and perform a task corresponding to the user speech when a user response corresponding to the question is input through the input interface. Embodiments may use an artificial intelligence model learned according to at least one of machine learning, a neural network, and a deep learning algorithm.