Voice Guidance Adaptation via Listening Pattern Analysis
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Solution Overview
Problem
Current voice recognition systems in vehicles and smart devices face usability issues when users need to perform complex interactions or enter long texts, as they do not adapt to individual listening patterns, leading to decreased interaction efficiency.
Innovation Solution
A voice recognition apparatus with a receiver, provider, and controller that analyzes user listening patterns to adjust the length and output speed of guidance messages, providing a shortened message or beep sound when listening time is short, and stopping output upon receiving new voice commands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the voice recognition apparatus outputs a complete guidance message, then the user receives full information, but the interaction efficiency decreases when the user already knows the message content
Solution Approach 1:
The patent applies dynamics by making the guidance message output adaptable and variable based on real-time user listening patterns. The system dynamically adjusts message length, output speed, and format (complete message, shortened message, or beep sound) according to the user's actual listening behavior, transforming a static output system into a dynamic one that responds to user needs.
Solution Approach 2:
The patent implements parameter changes by modifying multiple output parameters of the guidance message including length (complete vs. shortened), output speed, and format (message vs. beep sound). These parameter adjustments are based on analyzing user listening patterns such as listening time and repetition frequency, allowing the system to optimize information delivery efficiency.
2Reliability
If the guidance message is output repeatedly, then the user becomes fully aware of the message, but the user may not listen to the contents or hear only a front part
Solution Approach 1:
The patent applies feedback by continuously monitoring and analyzing user listening patterns such as listening time, repetition frequency, and attention level. This feedback mechanism allows the system to assess whether the user is actually receiving and processing the guidance message information, and adjusts subsequent output strategies accordingly to ensure complete information reception.
Solution Approach 2:
The patent implements preliminary action by pre-analyzing user listening patterns before determining the optimal message output strategy. The system proactively adjusts message length, speed, and format based on predicted user needs derived from historical listening data, rather than simply repeating the same message regardless of user engagement.
3Loss of information
If the voice recognition apparatus provides detailed guidance messages, then the user receives comprehensive information, but the message length exceeds the user's actual listening time
Solution Approach 1:
The patent implements parameter changes by dynamically adjusting message length and output speed based on user listening patterns. When users demonstrate short listening times or high familiarity with message content, the system compresses the message into shorter versions or beep sounds, thereby reducing time loss while maintaining essential information delivery.
Solution Approach 2:
The patent applies partial action by delivering only the necessary portion of information based on user needs. Instead of always outputting complete guidance messages, the system provides shortened versions or key indicators (beep sounds) when full information is not required, optimizing the balance between information completeness and time efficiency.
Data Source
AI summary
A voice recognition apparatus may include a receiver configured to receive a voice command; a provider configured to output a guidance message; and a controller configured to control the provider in response to the voice command, analyze a listening pattern of the guidance message transmitted by the receiver, and adjust an output of the guidance message based on the listening pattern.