Multi-Device Voice Response Volume Using Command Loudness
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Solution Overview
Problem
In homes with multiple voice-operated user devices, coordinating responses to voice commands and adjusting response volumes becomes cumbersome, as existing systems require manual selection and volume adjustment for each device, leading to potential hearing issues and reduced usability.
Innovation Solution
A media guidance application determines the volume level of a voice command and identifies the nearest device by comparing volume levels across multiple voice-operated devices, automatically adjusting the response volume to ensure clear communication without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple voice-operated user devices are deployed in a home, then device coverage and accessibility are improved, but coordination complexity and difficulty in determining which device should respond increase
Solution Approach 1:
Each voice-operated user device autonomously determines its own suitability for responding to a voice command by analyzing the volume level of the command it receives. The device compares its received volume level against volume levels received by other devices (or a threshold) and automatically decides whether to respond, eliminating the need for manual coordination or complex centralized control logic.
Solution Approach 2:
The system uses the volume level parameter of the voice command as received by different devices to dynamically determine which device should respond. By changing the response behavior based on this physical parameter (volume level indicating proximity), the system resolves the coordination problem without adding complex control mechanisms.
2Measurement precision
If response volume is manually adjusted for each device, then response clarity can be controlled, but user convenience and ease of operation deteriorate
Solution Approach 1:
The voice-operated user device automatically adjusts its response volume level based on the volume level of the voice command it received. The device performs this adjustment without requiring manual intervention from the user, thereby maintaining response clarity while significantly improving ease of operation.
Solution Approach 2:
The system uses the volume level of the incoming voice command as feedback to automatically determine the appropriate response volume level. This feedback mechanism ensures that the response is clearly audible to the user without requiring manual volume adjustment, resolving the contradiction between precision and ease of operation.
3Adaptability or versatility
If response volume matches the volume of the user's voice command, then natural communication is improved, but the user may fail to hear the response in certain circumstances
Solution Approach 1:
The system dynamically adjusts the response volume level based on the received voice command volume level, but incorporates a threshold or offset mechanism to ensure the response remains audibly distinct from the user's command. This allows the system to maintain natural communication scaling while ensuring reliable audibility.
Solution Approach 2:
The system preemptively adjusts the response volume to account for potential audibility issues by ensuring the response volume is sufficiently distinct from the command volume. This cushioning approach prevents the user from potentially missing their own response, maintaining both natural communication and reliable audibility.
4Ease of operation
If automatic response volume adjustment is implemented, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The voice-operated user device performs automatic volume adjustment autonomously by comparing the volume level of the received voice command against reference values. This self-service approach enables automatic adaptation without requiring complex external control systems or manual intervention, thereby improving ease of operation while keeping device complexity manageable.
Data Source
AI summary
Systems and methods are provided herein for responding to a voice command at a volume level based on a volume level of the voice command. For example, a media guidance application may detect, through a first voice-operated user device of a plurality of voice-operated user devices, a voice command spoken by a user. The media guidance application may determine a first volume level of the voice command. Based on the volume level of the voice command, the media guidance application may determine that a second voice-operated user device of the plurality of voice-operated user devices is closer to the user than any of the other voice-operated user devices. The media guidance application may generate an audible response, through the second voice-operated user device, at a second volume level that is set based on the first volume level of the voice command.