Age-Sensitive Speech Recognition Query Modification
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Solution Overview
Problem
Existing content filtering systems for children are overly restrictive and fail to account for limited vocabularies and pronunciation difficulties, leading to frustration and inappropriate content access, while also being challenging for system operators to control.
Innovation Solution
A system that modifies queries by replacing inappropriate terms with appropriate alternatives based on context and user age, using machine learning models and knowledge graphs to ensure accurate content recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If a child-friendly profile blocks inappropriate content terms, then content safety is improved, but search effectiveness deteriorates because children's limited vocabulary causes legitimate searches to be blocked
Solution Approach 1:
The system introduces an intermediary component that sits between the child's query and the content filtering mechanism. This intermediary analyzes the query context, identifies when a child uses inappropriate terminology, and substitutes it with age-appropriate terms before content filtering occurs. This allows the child's intent to be preserved while ensuring safe content delivery.
Solution Approach 2:
The system dynamically changes the parameter of search terms based on the user's age group. When a child's query contains terminology inappropriate for their age, the system transforms these terms into age-appropriate alternatives, thereby maintaining both safety and search effectiveness without requiring rigid blocking rules.
2Object-affected harmful factors
If strict content filtering is applied to block inappropriate terms, then content appropriateness is improved, but user experience deteriorates due to frustration from zero results
Solution Approach 1:
The query modification system acts as an intermediary that prevents the direct conflict between strict filtering and user experience. By translating children's queries into age-appropriate terms before filtering, it ensures that safe content is found and returned, avoiding the frustration of zero results while maintaining content appropriateness.
Solution Approach 2:
The system converts the potential harm of children using inappropriate terminology into a benefit by automatically translating these terms into age-appropriate alternatives. This transformation ensures that even when children use incorrect or inappropriate words, the system interprets their intent correctly and returns suitable content, turning a problematic situation into a positive user experience.
3Adaptability or versatility
If voice-based query processing is used, then accessibility is improved, but recognition accuracy deteriorates due to children's pronunciation difficulties
Solution Approach 1:
The system introduces a query modification intermediary that processes voice queries specially for children. This intermediary uses context analysis and age-appropriate vocabulary databases to correct misrecognized words resulting from children's pronunciation difficulties, thereby maintaining high accessibility while compensating for reduced recognition accuracy.
Solution Approach 2:
The system adjusts the parameters of voice recognition processing based on the user's age group. For children, it modifies the vocabulary expectations and context interpretation to account for pronunciation variations, thereby maintaining accessibility while improving recognition accuracy through age-adaptive processing.
4Adaptability or versatility
If multiple media applications with discrete parental controls are provided, then application functionality is improved, but system complexity deteriorates making content control difficult
Solution Approach 1:
The query modification system provides a universal solution that works across multiple media applications. By implementing a centralized query translation and content appropriateness checking mechanism, it enables consistent content control across different applications without requiring separate parental control configurations for each, thereby reducing overall system complexity.
Data Source
AI summary
Systems and methods are described to receive a query from a user and provide a reply that is appropriate for an age group of the user. A query for a media asset is received, where such query comprises an inputted term, and the query is determined to be received from a user belonging to a first age group. A context of the inputted term within the query is identified, and in response to the determining, based on the identified context, that the inputted term of the query is inappropriate for the first age group, a replacement term for the inputted term that is related to the inputted term and is appropriate for the first age group in the context of the query is identified. The query is modified to replace the inputted term with the identified replacement term, and a reply to the modified query is generated for output.