Emotion-Aware Voice Search for User-Specific Content Recommendations
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Solution Overview
Problem
Current voice-controlled devices provide static search results for different users based on the same search string, failing to consider individual user personalities, backgrounds, and emotional states, leading to inadequate content recommendations.
Innovation Solution
A voice-controlled device that processes search inputs dynamically by analyzing emotional content and user profiles to recommend personalized content, using a classification system that categorizes content based on emotional qualities and user feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If voice controlled devices use static search results for all users based on the same search string, then the device complexity is reduced and operation is simplified, but the adaptability to different users and their emotional states deteriorates
Solution Approach 1:
The patent implements dynamic search processing by transitioning from static search results to emotionally-adaptive content recommendations. The system dynamically adjusts search outcomes based on real-time emotional state detection through voice analysis, allowing the same search query to yield different results for different users based on their emotional conditions.
Solution Approach 2:
The system changes the parameter of search result personalization by incorporating emotional state parameters into the search processing algorithm. By analyzing voice characteristics and determining emotional states, the system modifies search parameters to deliver personalized content that adapts to each user's emotional condition rather than returning identical static results.
2Adaptability or versatility
If voice controlled devices analyze emotional content and user profiles to provide personalized recommendations, then the adaptability to different users improves, but the device complexity and processing requirements increase
Solution Approach 1:
The patent extracts emotional state information from voice commands by analyzing specific acoustic parameters and linguistic features. This extraction process isolates the emotional content from the overall voice signal, allowing the system to process only the relevant emotional indicators rather than analyzing entire user profiles or all voice characteristics.
Solution Approach 2:
The system performs partial emotional analysis by focusing on key emotional indicators and categories rather than comprehensive psychological assessment. By identifying and processing only the most salient emotional features from voice data, the system achieves adequate personalization without requiring excessive processing complexity.
3Manufacturing precision
If the device processes voice commands to determine emotional state and classify content accordingly, then the content recommendation quality improves, but the processing time and loss of time increase
Solution Approach 1:
The system performs preliminary classification of emotional states by analyzing voice commands as they are received, determining emotional categories before initiating the full content search process. This preliminary emotional assessment allows the search algorithm to be pre-configured with appropriate filters and parameters, reducing the time required for comprehensive content processing.
Solution Approach 2:
The patent segments the content classification process into distinct stages: emotional state detection from voice, emotional category determination, and content filtering based on emotional categories. This segmentation allows each stage to be processed independently and efficiently, reducing overall processing time while maintaining classification accuracy.
Data Source
AI summary
Embodiments may process search input for different users based on classifications of information and based on emotional content of search commands from the users. For example, a method may comprise receiving, at a computer system, speech data from a client device, the speech data representing a voice command from a user, obtaining, at the computer system, a plurality of items of content responsive to the voice command by searching for content, determining, at the computer system, at least one class related to the voice command, classifying, at the computer system, each obtained item of content into at least one class, identifying, at the computer system, at least one item of content classified into at least one class related to the voice command, and transmitting, at the computer system, the at least one identified item of content.