Mobile Device Command Processing Based on Utterance Context
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Solution Overview
Problem
Current mobile devices face challenges in efficiently processing commands based on utterance inputs to control target devices in different IoT environments, leading to low user convenience and increased power consumption due to repeated detection operations.
Innovation Solution
A method and mobile device configuration that extracts element information and detection conditions from utterance inputs, using a location sensor and timer to determine context information, and processes commands only when the context satisfies the detection conditions, reducing unnecessary operations and power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the mobile device continuously performs detection operations to control target devices in different IoT environments, then the command processing capability is improved, but the power consumption increases
Solution Approach 1:
The patent extracts element information and detection condition information from the utterance input before performing detection operations. By pre-processing the command to identify what needs to be detected and under what conditions, the system avoids unnecessary continuous detection, thereby improving command processing capability while reducing power consumption.
Solution Approach 2:
The patent performs detection operations selectively based on extracted detection condition information rather than continuously. The system executes detection only when the conditions specified in the utterance are met, performing partial detection actions rather than excessive continuous detection, thus balancing productivity and energy consumption.
2Reliability
If the mobile device performs repeated detection operations to ensure command processing, then the reliability of device control is improved, but the user convenience decreases
Solution Approach 1:
The patent extracts and analyzes detection condition information from the utterance input before executing detection operations. This preliminary analysis allows the system to determine in advance whether detection is needed and what conditions must be met, ensuring reliable device control while avoiding unnecessary operations that would reduce user convenience.
Solution Approach 2:
The system automatically processes the utterance to extract element information and detection conditions, then autonomously determines whether to perform detection based on extracted context information. This self-service approach ensures reliable control without requiring user intervention or repeated detection attempts, thereby maintaining user convenience.
3Adaptability or versatility
If the mobile device processes commands in all IoT environments, then the adaptability is improved, but the power consumption increases
Solution Approach 1:
The patent extracts detection condition information specific to each target device and IoT environment from the utterance input. The system then performs detection operations only when the local conditions match the extracted detection conditions, rather than continuously adapting to all possible IoT environments. This localized approach improves adaptability to specific environments while reducing overall power consumption.
4Speed
If the mobile device performs frequent detection operations to maintain device control, then the response speed is improved, but the battery life decreases
Solution Approach 1:
The patent extracts element information and detection condition information from the utterance before performing detection operations. By pre-processing the command to identify detection requirements, the system can respond quickly when conditions are met without performing frequent unnecessary detection operations, thus maintaining response speed while preserving battery life.
Solution Approach 2:
The system performs detection operations periodically based on extracted detection conditions rather than continuously. Detection is executed at intervals determined by the extracted conditions, providing timely responses when needed while reducing overall detection frequency to conserve battery life.
Data Source
AI summary
A mobile device includes: a location sensor configured to detect a location of the mobile device; a timer; a microphone configured to receive an utterance input of a user; a communication interface; a memory; and a processor. The processor is configured to execute one or more instructions stored in the memory to extract, from the utterance input of the user, element information corresponding to a command controlling a target device and detection condition information of the target device; detect first context information using the location sensor and the timer; determine whether the detected first context information satisfies the detection condition information of the target device; and process the command corresponding to the element information of the command, based on a result of the determination.