AVNT Interface Language Matching for Accurate Voice Interaction
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Solution Overview
Problem
Conventional vehicle interfaces often provide content in a language different from that used by drivers and passengers, leading to reduced accuracy in interaction with the AVNT system.
Innovation Solution
A method and apparatus that determine whether pre-stored commands correspond to user utterances and update the language of text to match the language set in the user device, using speech recognition and lexicons to ensure consistency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If content is provided in its original language without translation, then the device complexity is reduced, but the interaction accuracy deteriorates
Solution Approach 1:
The system performs preliminary language matching by comparing the language of provided content with the user's device language setting before presenting the content. This preliminary check allows the system to proactively identify language mismatches and trigger translation only when necessary, rather than translating all content universally.
Solution Approach 2:
The system dynamically changes the language parameter of the content based on the detected language mismatch. When the content language differs from the device language, the system translates the content to match the user's preferred language, thereby adapting the language parameter to improve interaction accuracy.
2Reliability
If language conversion is performed for all content, then the interaction accuracy is improved, but the processing time increases
Solution Approach 1:
The system applies language conversion only partially - specifically, only when a language mismatch is detected between the content and the user's device language. This selective approach avoids the time cost of translating all content universally while still ensuring accurate language matching when needed.
Solution Approach 2:
The system substitutes a mechanical language checking and conversion mechanism that operates conditionally based on language detection. Instead of always performing translation, the system uses language identification to determine whether conversion is necessary, replacing a time-consuming universal translation process with a more efficient conditional approach.
3Ease of operation
If content is provided without language matching, then the ease of operation is maintained, but the user convenience deteriorates
Solution Approach 1:
The system dynamically adapts the language of the provided content based on the user's device language setting. Rather than using a static, fixed language for all content, the system adjusts the language parameter dynamically to match the user's preferences, thereby improving convenience while maintaining interface simplicity through automated adaptation.
Solution Approach 2:
The system achieves universal language adaptability by implementing a language checking and conversion mechanism that works across different languages and content types. This multi-functional approach allows the interface to accommodate users with different language preferences without requiring separate interfaces for each language, thereby enhancing both adaptability and ease of operation.
Data Source
AI summary
A computer-implemented method and apparatus for providing an interface in a same language as a language set in a user device are provided. The method includes obtaining an utterance generated by the user for text provided to the user using the device and determining whether there is a command corresponding to the utterance among pre-stored commands. The method also includes determining whether a language of the text is the same as the language set in the device when it is determined that there is no command corresponding to the utterance. The method additionally includes providing updated text in the same language as the language set in the device to the user when it is determined that the language of the text is not the same as the language set in the device.