Document Display Mode Selection for Readability
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Solution Overview
Problem
Conventional word processing systems employ a 'one size fits all' approach to displaying electronic documents on computer screens, which can lead to sub-optimal readability and require users to manually adjust settings, potentially impacting document quality and user experience.
Innovation Solution
A system that automatically selects the best viewing mode for an electronic document based on its characteristics and user feedback, using a classifier trained on annotated documents to determine optimal rendering parameters such as font size, spacing, and screen parameters like resolution and DPI, without requiring the document to be visually rendered.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a 'one size fits all' viewing mode is applied to all electronic documents, then device complexity is reduced, but readability and user experience deteriorate
Solution Approach 1:
The system automatically changes viewing mode parameters (font size, spacing, rendering settings) based on document characteristics and device properties. The classifier analyzes document features and selects optimal parameters from predefined viewing modes, eliminating manual configuration while optimizing readability for each specific document-device combination.
2Adaptability or versatility
If manual adjustment of viewing modes is required, then customization to user preferences is improved, but ease of operation and productivity deteriorate
Solution Approach 1:
The system performs self-service by automatically selecting viewing modes without user intervention. The classifier independently analyzes document characteristics, device properties, and user preferences to determine optimal viewing parameters, freeing users from manual adjustment tasks while maintaining personalized customization through automated learning of user preferences.
Solution Approach 2:
The system incorporates feedback mechanisms where user interactions and preferences are learned and stored. The classifier uses this feedback to improve automatic viewing mode selection over time, adapting to individual user preferences while maintaining high productivity through automated decision-making.
3Device complexity
If conventional viewing modes are used for all documents, then device complexity is minimized, but measurement precision of document characteristics deteriorates
Solution Approach 1:
The patent replaces manual mechanical selection of viewing modes with an automated computational system. The classifier uses machine learning algorithms to analyze document characteristics (format, structure, content) and device properties, substituting manual user judgment with automated intelligent analysis that achieves higher measurement precision of document characteristics.
Data Source
AI summary
A computer-implemented word processing system comprises an interface component that receives a features vector associated with an electronic document. An analysis component communicatively coupled to the interface component analyzes the features vector and determines a viewing mode in which to display the electronic document. In accordance with one aspect of the subject invention, the viewing mode can be one of a conventional viewing mode and a viewing mode associated with enhanced readability.


