Emotion-Based Error Detection for Vehicle Navigation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle-mounted navigation systems face difficulties in accurately recognizing user voice instructions due to ambient noise or unique pronunciation, leading to user frustration from manually identifying and uploading erroneous events.
Innovation Solution
A processing result error detection device and method that includes a behavior recognition unit, emotion presumption unit, and judgment unit to detect processing result errors by analyzing user reactions and emotions, reducing user burden by automatically judging errors based on predetermined thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system requests users to manually identify and upload erroneous events for feedback, then the system can collect data for improvement, but the user burden and frustration increase significantly
Solution Approach 1:
The system performs self-diagnosis by automatically detecting errors through analysis of user reactions and emotions, eliminating the need for users to manually identify and upload erroneous events. The judgment unit autonomously determines whether processing results are erroneous based on predetermined thresholds, making the system self-serve its own error detection needs
Solution Approach 2:
The system implements automatic feedback collection by detecting user emotions and reactions to processing results. The emotion presumption unit continuously monitors user emotional states and feeds this information back to the judgment unit, which then automatically identifies errors and uploads them for system improvement without requiring user intervention
2Measurement precision
If the system asks users to distinguish between different types of errors, then error classification improves, but user annoyance and operational complexity increase
Solution Approach 1:
The system autonomously performs error classification by analyzing user emotional responses and reaction patterns. The judgment unit automatically categorizes errors into different types based on the nature of user dissatisfaction, eliminating the need for users to manually distinguish between error types and reducing operational complexity to zero
Data Source
AI summary
A processing result error detection device includes: a behavior recognition unit which recognizes behavior of a user; a processing unit which executes a process dependent on the behavior of the user; an emotion presumption unit which presumes an intensity of emotion of the user based on reaction of the user to a processing result; and a judgment unit which judges that the processing result includes an error when the presumed intensity of emotion of the user is equal to or greater than a predetermined threshold.