AI Voice Feedback Control for Context-Aware Volume Adjustment
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Solution Overview
Problem
Conventional artificial intelligence devices fail to adjust output volume intensity based on target context, leading to unnecessary noise or inadequate information delivery, particularly when notifications are only auditory and the target is not near the device.
Innovation Solution
An artificial intelligence device equipped with a microphone, camera, and sound output unit that acquires context information to adjust the volume and method of feedback, such as using short-range communication for notifications when the target is not in sight, and increasing volume for emergency contexts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the notification volume intensity is increased to ensure the listener can be heard, then the information delivery reliability is improved, but unnecessary noise is generated to the listener or people around
Solution Approach 1:
The notification volume intensity is dynamically adjusted based on the detected context of the target object. The system transitions from a static volume level to a dynamic one that adapts to whether the target is in a close or distant state, thereby ensuring reliable information delivery without generating unnecessary noise in close proximity
Solution Approach 2:
The system changes the parameter of notification volume intensity based on the detected context. When the target is in a close state, the volume is reduced to minimize noise disturbance; when the target is in a distant state, the volume is increased to ensure the listener can be heard
2Object-affected harmful factors
If the notification volume intensity is decreased to minimize noise disturbance, then the noise disturbance to the listener is reduced, but the listener cannot be heard in some cases
Solution Approach 1:
The notification volume intensity is dynamically adjusted based on the detected context of the target object. The system transitions from a static volume level to a dynamic one that adapts to whether the target is in a close or distant state, thereby ensuring reliable information delivery without generating unnecessary noise in close proximity
Solution Approach 2:
The system changes the parameter of notification volume intensity based on the detected context. When the target is in a close state, the volume is reduced to minimize noise disturbance; when the target is in a distant state, the volume is increased to ensure the listener can be heard
3Device complexity
If the notification is output only by sound to maintain simple output methods, then the device complexity is reduced, but information is not smoothly delivered to the target when the target is not near the device
Solution Approach 1:
The notification output system is enhanced with multi-functionality by adding image recognition capabilities to the existing sound output function. This allows the system to detect the context of the target object and select the appropriate output method (sound only, sound with image, or image only) based on whether the target is in a close or distant state, thereby ensuring reliable information delivery without significantly increasing device complexity
Solution Approach 2:
Image recognition technology is introduced as an intermediary between the notification generation and sound output. The image recognition module detects the target's context and mediates the selection of the appropriate output method, enabling the system to adapt to different scenarios while maintaining a relatively simple overall structure
Data Source
AI summary
An artificial intelligence device according to an embodiment of the present invention may include a microphone configured to receive voice; a sound output unit configured to output sound; an artificial intelligence unit configured to acquire context information of a target, based on at least one of an image received from a camera disposed outside and a voice received from the microphone, generate feedback information according to the acquired context information, and determine output volume intensity of the generated feedback information; and a controller configured to control the sound output unit to output the feedback information at the determined output volume intensity.