Eye Tracking Electronic Book Adjusting Text Image Ratio
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Solution Overview
Problem
Conventional electronic books provided in a fixed form fail to accommodate varying reading types of users, particularly children, leading to decreased reading concentration and efficiency.
Innovation Solution
A system and method that uses eye tracking technology to determine a user's reading type by analyzing their gaze patterns, adjusting the electronic book's format to include more text or images based on their preferences, and updating the reading type accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If electronic books are provided in a fixed form like real books, then the structure and format are simple and stable, but the reading concentration levels of users particularly children are degraded
Solution Approach 1:
The electronic book system dynamically adjusts its content presentation by switching between different reading types (image-based, text-based, mixed) based on real-time eye tracking data. The system makes the book format movable and adaptable rather than fixed, allowing the text-to-image ratio to change dynamically according to user engagement patterns detected through gaze analysis
Solution Approach 2:
The system changes the parameter of text-to-image ratio in the electronic book content based on detected reading types. When eye tracking indicates declining concentration, the system modifies the composition parameters by increasing image content or adjusting text density, thereby adapting the book's structural parameters to maintain user engagement
2Reliability
If eye tracking technology is implemented to detect reading types, then the reading concentration and efficiency are improved, but the device complexity increases
Solution Approach 1:
The system performs self-adjustment by automatically detecting reading concentration through eye tracking and autonomously modifying the electronic book content without requiring manual user input. The system serves itself by using its own resources (camera, processor) to monitor and adjust the reading experience, reducing the need for external intervention or complex user interfaces
Solution Approach 2:
The system implements a closed-loop feedback mechanism where eye tracking data continuously monitors user engagement, and this feedback is used to automatically adjust the electronic book content. The processor analyzes gaze patterns in real-time and feeds this information back to modify the text-to-image ratio, creating a self-regulating system that maintains optimal reading concentration
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system provides an electronic book format tailored to individual reading types, enhancing reading concentration and efficiency by dynamically adjusting the text and image ratios based on user engagement.
Implementation Method 1
a camera configured to generate an eye movement image by capturing an image of eye movement of the user
Data Source
AI summary
Disclosed are a system and method for providing an electronic book based on a reading type, which can provide one electronic book in various forms depending on the reading types of users. A reader terminal of the system outputs an electronic book, which has different texts and image ratios depending on the reading type of a user, on a screen, detects a sight area at which the user stares, by capturing an image of eye movement of the user who reads the electronic book, and sets and updates the reading type of the user based on the sight area.