Dynamic Text Highlighting via Reader Feedback
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Solution Overview
Problem
Conventional automatic summarization techniques generate static summaries that may miss important information if not all key sentences are included, leading to decreased accuracy and lack of context, as errors in summaries are often not detected when read instead of the original document.
Innovation Solution
Highlighting key portions of text within the document using summarization techniques, where reader feedback dynamically adjusts the highlighted sections, ensuring that important information is not missed and improving reading comprehension and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional automatic summarization techniques are used to generate a separate summary, then reading efficiency is improved, but accuracy and reliability of information transmission deteriorate due to potential omission of important sentences
Solution Approach 1:
The patent merges the summary function with the original document by displaying highlighted key portions directly within the document context rather than creating a separate summary. This combination allows readers to quickly identify important information while maintaining access to the full document context, thus improving reading efficiency without sacrificing accuracy.
Solution Approach 2:
The patent segments the document by identifying and highlighting only the key portions that contain important information. This segmentation allows readers to focus on critical sentences and phrases while still having access to the complete document, thereby improving reading efficiency without losing important information.
2Reliability
If key portions are highlighted within the document, then context is preserved and accuracy is improved, but device complexity increases due to dynamic adjustment mechanisms
Solution Approach 1:
The patent implements feedback mechanisms where reader interactions (such as scrolling behavior, time spent on sections, or explicit feedback) are monitored and used to dynamically adjust which portions are highlighted. This feedback loop allows the system to improve accuracy over time by learning from actual reader behavior, while the complexity is managed through automated algorithms rather than manual curation.
3Productivity
If static summaries are generated, then processing speed is improved, but adaptability to different reader needs deteriorates
Solution Approach 1:
The patent transitions from static summarization to dynamic highlighting where the key portions displayed can change based on reader interactions and feedback. The system automatically adjusts which portions are highlighted in real-time based on scrolling behavior, time spent on sections, and other engagement metrics, providing adaptability while maintaining processing efficiency through automated algorithms.
Data Source
AI summary
Highlighting key portions of text within a document is described. A document having text is obtained, and key portions of the document are determined using summarization techniques. Key portion data indicative of the key portions is generated and maintained for output to generate a highlighted document in which highlight overlays are displayed over or proximate the determined key portions of the text within the document. In one or more implementations, reader interactions with the highlighted document are monitored to generate reader feedback data. The reader feedback data may then be combined with the output of the summarization techniques in order to adjust the determined key portions. In some cases, the reader feedback data may also be used to improve the summarization techniques.