AI Voice Response Timing Based on User Engagement
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Solution Overview
Problem
Digital assistants lack the capability to determine appropriate times for executing voice commands, often delivering responses when the user is not engaged or present, leading to inefficient resource usage and power consumption.
Innovation Solution
A system that uses sensors and historical data to assess user engagement levels and environmental conditions to determine the optimal time for delivering AI-based voice responses, reducing unnecessary processing and power consumption by preempting responses when the user is not attentive.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the digital assistant continuously monitors and processes voice commands, then the responsiveness and availability of the assistant is improved, but the power consumption and resource usage increase
Solution Approach 1:
The system performs preliminary assessment of user engagement status before processing voice commands. By evaluating sensors data (audio, visual, contextual) in advance to determine whether the user is engaged, the system can preemptively avoid processing commands when the user is not attentive, thus reducing unnecessary power consumption while maintaining availability when needed
2Speed
If the digital assistant delivers responses immediately upon receiving voice commands, then the responsiveness is improved, but the accuracy of response delivery deteriorates when the user is not engaged
Solution Approach 1:
The system incorporates feedback from multiple sensors (audio activity, visual engagement, contextual data) to continuously assess user engagement status. This feedback mechanism allows the assistant to determine in real-time whether the user is engaged before delivering responses, ensuring accuracy while maintaining speed through efficient decision-making based on sensor inputs
3Productivity
If the digital assistant processes all voice commands without filtering, then the completeness of command processing is improved, but the efficiency and productivity deteriorate due to unnecessary processing
Solution Approach 1:
The system performs preliminary filtering of voice commands based on user engagement assessment before processing. By evaluating whether the user is engaged through sensor data analysis in advance, the system can preemptively filter out commands when the user is not attentive, improving processing efficiency while maintaining completeness by still processing commands when engagement is detected
Data Source
AI summary
Aspects of the present invention disclose a method for delivering an artificial intelligence-based response to a voice command to a user. The method includes one or more processors identifying an audio command received by a computing device. The method further includes determining a first engagement level of a user, wherein an engagement level corresponds to an attentiveness level of the user in relation to the computing device based at least in part on indications of activities of the user. The method further includes identifying a first set of conditions within an immediate operating environment of the computing device, wherein the first set of conditions indicate whether to deliver a voice response to the identified audio command. The method further includes determining whether to deliver the voice response to the identified audio command to the user based at least in part on the first engagement level and first set of conditions.