In-Cabin Voice Control With Confidence Feedback for Vehicle Adjustment
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Solution Overview
Problem
In-cabin voice user interfaces in vehicles often fail to interpret audible commands correctly, leading to confusion for drivers without providing feedback on how to correct the errors, especially in scenarios involving ASR or NLU errors.
Innovation Solution
A system that includes a controller to generate confidence scores based on command data, provide responses when thresholds are not met, and adjust vehicle components when scores are satisfactory, utilizing context data to enhance command interpretation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the in-cabin voice user interface uses basic command interpretation, then the device complexity is low, but the measurement precision of command interpretation is insufficient leading to errors
Solution Approach 1:
The system generates confidence scores for each interpreted command and provides feedback to the user about the reliability of the interpretation. When confidence is low, the system requests clarification, creating a feedback loop that improves interpretation accuracy without requiring overly complex preprocessing systems.
Solution Approach 2:
The system performs preliminary confidence assessment on command interpretations before executing them. By evaluating confidence scores in advance, the system can determine whether additional clarification is needed, preventing erroneous commands from being executed while maintaining a relatively simple interpretation engine.
2Ease of operation
If the system provides detailed feedback on command interpretation errors, then the ease of operation improves, but the device complexity increases
Solution Approach 1:
The system provides targeted feedback to users about why their commands were not understood, using confidence score thresholds to determine when clarification is needed. This feedback mechanism improves ease of operation by guiding users to provide better commands without requiring complex error analysis systems.
Solution Approach 2:
The system uses confidence score parameters to dynamically adjust its behavior. When confidence scores fall below certain thresholds, the system changes its operation mode to request clarification. This parameter-based approach enables adaptive user guidance without requiring complex decision-making logic.
3Reliability
If the system processes all audible commands with high accuracy verification, then the reliability improves, but the productivity decreases due to additional clarification requests
Solution Approach 1:
The system dynamically changes its processing behavior based on confidence score parameters. High-confidence commands are executed immediately without additional verification, maintaining productivity. Low-confidence commands trigger clarification requests, ensuring reliability. This parameter-driven approach balances both objectives.
Solution Approach 2:
The system applies full verification procedures only when necessary (low confidence scores), rather than to all commands. This partial action approach maintains reliability for uncertain commands while avoiding unnecessary delays for clear, high-confidence commands, thus preserving overall productivity.
Data Source
AI summary
Systems and methods for adjusting vehicle components based on audible commands are disclosed herein. In an embodiment, the system includes a plurality of adjustable vehicle components, an audio device, and a controller. The audio device is configured to receive an audible command and generate corresponding command data. The controller is programmed to generate at least one confidence score based on the command data and (i) cause a first response to be output from the audio device after determining that the at least one confidence score does not meet a first threshold, (ii) cause a second response to be output from the audio device after determining that the at least one confidence score does not meet a second threshold, and (iii) cause an adjustment of at least one adjustable vehicle component after determining that the at least one confidence score meets the second threshold.