Intelligent Reading Support for Printed and Digital Texts
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Solution Overview
Problem
Current reading support features are limited to digital texts and lack functionality for printed texts, as they do not provide searching functions or personalized reading assistance, making it difficult for users to access and understand information from printed materials without digital dependencies.
Innovation Solution
A method that captures data from various sources, including printed and digital texts, using data capturing devices to update a knowledge domain and provide responses to user queries, offering searching, learning, and real-time analysis of consumed content, enabling personalized reading support without relying on existing digital information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If reading support features are limited to digital texts only, then the system complexity remains low, but the adaptability and versatility of the reading support system deteriorates
Solution Approach 1:
The patent implements a universal reading support system that can handle both digital texts and printed texts through a single integrated platform. The system uses a knowledge domain that can be populated from multiple sources (digital books, printed books via image capture, web pages, articles) and provides unified search and query capabilities across all formats, eliminating the need for separate systems for different text types
Solution Approach 2:
The patent introduces a knowledge domain as an intermediary layer between the user and the text content. This knowledge domain acts as a mediator that processes information from various sources (digital and printed texts) and provides standardized search and query responses, simplifying the interaction between users and diverse text formats while maintaining system manageability
2Productivity
If data is captured and processed in real-time while user is consuming data, then the productivity and responsiveness of the system improves, but the use of energy and computational resources increases
Solution Approach 1:
The patent implements preliminary action by automatically capturing and processing data in the background as the user consumes content, populating the knowledge domain in advance. This allows the system to have information ready for immediate retrieval when users pose queries, providing fast responses without requiring intensive real-time processing at the moment of user interaction
Solution Approach 2:
The system performs self-service by automatically capturing data from sources, processing the information, and updating the knowledge domain without requiring active user intervention or triggering intensive processing only when needed. This background automation distributes computational load over time, reducing peak energy consumption while maintaining productivity
Data Source
AI summary
Embodiments for providing data content consumption support by a processor. Data from one or more data sources may be captured and received by one or more data capturing devices while a user is consuming the data on the one or more data sources. A domain knowledge may be automatically updated with the data. A response may be provided to one or more queries based upon information accessed from the knowledge domain.