Reading Model for Dynamic Text Display Parameter Adjustment

Solution Overview

Problem

Users face challenges in optimizing text display parameters for reading ease on devices, as existing solutions either rely on content creators or leave adjustments to end-users, lacking personalized and flexible options to enhance reading speed and comprehension.

Innovation Solution

A system that uses user interaction data and device characteristics to create a reading model, which adjusts display parameters such as font size, spacing, and brightness to improve reading ease by identifying desired settings for individual users or device types.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If text size is increased to improve readability, then reading ease per word is improved, but the number of words displayed on a page decreases

Engineering Contradiction:

Improvereading easeVSAvoidnumber of words on page

Core Design Contradiction:

Ease of operationVSQuantity of substance

Solution Approach 1:

The system dynamically adjusts text display parameters including font size, line spacing, and margin size based on real-time feedback about user reading behavior, allowing the configuration to adapt between larger text for readability and optimized page density

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system collects feedback on user reading characteristics and uses this feedback to automatically adjust text display parameters, resolving the trade-off between text size and page capacity through data-driven optimization

Inventive Principle:

Principle #23Feedback

2Productivity

If text size is decreased to increase words per page, then overall reading speed increases, but readability per word decreases

Engineering Contradiction:

Improvereading speedVSAvoidreadability

Core Design Contradiction:

ProductivityVSEase of operation

Solution Approach 1:

The system dynamically adjusts text display parameters including font size, line spacing, and margin size based on real-time feedback about user reading behavior, allowing the configuration to adapt between larger text for readability and optimized page density for speed

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system collects feedback on user reading characteristics and uses this feedback to automatically adjust text display parameters, resolving the trade-off between text size and page capacity through data-driven optimization

Inventive Principle:

Principle #23Feedback

3Adaptability or versatility

If multiple adjustable parameters are provided to users, then flexibility and personalization are improved, but system complexity increases

Engineering Contradiction:

ImproveflexibilityVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system automatically adjusts text display parameters by collecting feedback on user reading characteristics and applying optimization algorithms, eliminating the need for users to manually configure multiple parameters while still providing personalized optimization

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system changes multiple display parameters (font size, line spacing, margin size) automatically based on feedback data, providing flexible adaptation without exposing users to the complexity of adjusting each parameter individually

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS9323723B2Reading ease of text on a device

Publication Date: 2016.04.26 MICROSOFT TECHNOLOGY LICENSING LLC

AI summary

One or more techniques and/or systems are disclosed for improving reading ease of text displayed by a device. Reading-related feedback, such as feedback that indicates user reading speed and/or user reading comprehension, can be received for a user of the device. One or more display-related characteristics, such as characteristics that indicate how text is displayed by the device, can be received for the device. Using the reading-related feedback and the one or more display-related characteristics, a reading model can be created that can indicate desired display parameters for displaying the text on the device. The desired display parameters indicated by the reading model may be used to improve reading ease of the text, displayed by the device, for the user.