Voice Assistant Volume Adaptation for Multi-User Audio Preferences
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Solution Overview
Problem
Existing electronic devices with voice assistants lack the ability to automatically adapt volume levels and media content selection based on the presence and preferences of multiple registered users, leading to inconvenience and frustration, especially for users with hearing impairments and varying environmental contexts.
Innovation Solution
The implementation of a method and system that uses a virtual assistant to detect registered users in proximity and automatically adjust volume levels and select media content based on stored preference settings and context, utilizing a Volume Preferences Manager (VPM) and Active Consumer Media Content Selector (ACMCS) modules to determine active consumers and apply corresponding settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the device outputs audio content at the volume level last set for speakers, then the device maintains consistent audio output, but users with different hearing preferences cannot access their preferred volume levels without manual adjustment
Solution Approach 1:
The system automatically detects the presence of registered users and applies their stored volume preferences without requiring manual adjustment. The virtual assistant identifies users through voice recognition and autonomously configures audio output based on pre-stored preferences, eliminating the need for users to manually adjust volume settings each time they use the device.
Solution Approach 2:
Volume preferences for each registered user are stored in advance in the device's memory. When a user is detected, the system retrieves and applies the pre-stored preferences immediately, avoiding the need for real-time manual adjustment and ensuring seamless adaptation to user needs.
2Stability of the object's composition
If the device returns to default settings at each power-on event, then the device maintains a consistent baseline configuration, but users must repeatedly adjust settings to reach their preferred state
Solution Approach 1:
Upon device power-on, the virtual assistant automatically detects the presence of registered users and applies their stored preferences without requiring user intervention. The system self-configures the audio output based on pre-stored preferences, eliminating the time users would otherwise spend manually adjusting settings after each power-on event.
Solution Approach 2:
The system continuously monitors for the presence of registered users and dynamically adjusts volume settings based on detected user preferences. This feedback loop ensures that the device automatically adapts to the appropriate configuration whenever a registered user is present, maintaining both stability and user-specific customization.
3Adaptability or versatility
If multiple users share a device with heterogeneous preferences, then the device serves multiple users, but users with hearing impairments face additional operational complexity
Solution Approach 1:
The virtual assistant automatically identifies registered users through voice recognition and applies their stored preferences without requiring any manual input from users with hearing impairments. The system handles the entire preference application process autonomously, eliminating the need for hearing-impaired users to provide repeated instructions or make additional adjustments.
Solution Approach 2:
The system segments users into registered users with stored preferences and non-registered users. For registered users, including those with hearing impairments, the system applies personalized preferences automatically. This segmentation allows the device to serve multiple users with heterogeneous preferences while simplifying the operational experience for hearing-impaired users through automated recognition and configuration.
4Adaptability or versatility
If the device maintains the last set volume level, then the device preserves user settings, but it cannot adapt to different environmental contexts or different users' needs
Solution Approach 1:
The virtual assistant autonomously detects the presence of registered users and applies their stored preferences without requiring manual input. The system automatically adapts volume settings based on the detected user and environmental context, managing the complexity of multiple user preferences through automated recognition and configuration rather than requiring users to manually navigate complex settings.
Solution Approach 2:
The system changes the volume parameter dynamically based on the detected presence of registered users and environmental context. By storing multiple volume preferences for different users and contexts, the system can switch between different parameter values automatically, achieving context-based adaptation while managing complexity through automated user identification and preference retrieval.
Data Source
AI summary
A method includes detecting an input that triggers a virtual assistance (VA) on an electronic downdevice (ED) to perform a task that includes outputting audio content through a speaker associated with the ED. The method includes identifying a type of the audio content to be outputted through the speaker. The method includes determining whether a registered user of the ED is present in proximity to the ED. Each registered user is associated with a unique user identifier. The method includes, in response to determining that no registered user is present in proximity to the ED, outputting the audio content via the speaker at a current volume level of the ED. The method includes in response to determining that a registered user is in proximity to the ED, outputting the audio content at a selected, preferred volume level based on pre-determined or pre-established volume preference settings of the registered user.