Literacy-Adaptive Content Personalization for Automatic Comprehension
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing content personalization methods require manual user interaction to replace difficult words or phrases, which is tedious and does not guarantee understanding by the user, leading to degraded experience.
Innovation Solution
A system and method for literacy-aware content personalization that includes determining a user's literacy level, modifying content items based on this level, and providing updated content to enhance comprehension.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual word selection and replacement is used, then content can be simplified, but user experience degrades due to tedious interaction
Solution Approach 1:
The system performs preliminary analysis of user literacy level and pre-processes content simplification before the user requests it. By determining the user's literacy level in advance and preparing simplified content versions beforehand, the system eliminates the need for manual word selection and replacement during user interaction, thus resolving the contradiction between ease of operation and time loss.
Solution Approach 2:
The system enables content to serve itself by automatically identifying difficult words and phrases based on the determined literacy level and replacing them with simpler alternatives without requiring user intervention. This self-service mechanism resolves the contradiction by making content simplification effortless for users while eliminating the time-consuming manual interaction process.
2Adaptability or versatility
If online replacement tools are used, then word substitution is possible, but understanding is not guaranteed
Solution Approach 1:
The system changes the parameter of content complexity by adjusting the literacy level parameter. It determines the user's specific literacy level and modifies the content to match that level, ensuring that replacements are not just syntactic but semantically appropriate for the user's comprehension ability. This resolves the contradiction by making content adaptable to individual users while guaranteeing comprehension accuracy through literacy-level-matched simplification.
3Productivity
If repetitive replacement process is used, then more words can be simplified, but user experience severely degrades
Solution Approach 1:
The system implements continuous automatic content analysis and simplification that processes all difficult words and phrases in a single pass based on the determined literacy level. This continuous action achieves comprehensive content simplification without requiring users to repeatedly interact with the system, thus resolving the contradiction between productivity and ease of operation by making the simplification process both thorough and effortless.
Data Source
AI summary
The present teaching relates to a method, system, and programming for content personalization. A request is received from a user to obtain a content item. Information indicative of a literacy-level of the user is obtained and the content item to be provided to the user is retrieved. The content item is modified by updating information included in the content item based on the literacy-level of the user to generate an updated content item. The updated content item is provided to the user in response to the request.