18615813. TEXT LAYOUT INTERPRETATION USING EYE GAZE DATA simplified abstract (GOOGLE LLC)
Contents
TEXT LAYOUT INTERPRETATION USING EYE GAZE DATA
Organization Name
Inventor(s)
Alexander James Faaborg of Mountain View CA (US)
Brett Barros of San Mateo CA (US)
TEXT LAYOUT INTERPRETATION USING EYE GAZE DATA - A simplified explanation of the abstract
This abstract first appeared for US patent application 18615813 titled 'TEXT LAYOUT INTERPRETATION USING EYE GAZE DATA
Simplified Explanation: Gaze data collected from eye gaze tracking during text training can be used to train a layout interpretation model. This model can then determine the layout of current text and arrange words accordingly.
Key Features and Innovation:
- Use of gaze data for training a layout interpretation model
- Determining layout of text based on eye gaze tracking
- Arranging words in text according to the determined layout
Potential Applications: This technology can be applied in:
- Text formatting and layout design
- Educational tools for reading comprehension
- Accessibility features for visually impaired individuals
Problems Solved:
- Improving text layout based on user gaze patterns
- Enhancing reading experience by optimizing text arrangement
- Providing personalized text formatting options
Benefits:
- Enhanced readability and comprehension of text
- Customized text layouts based on individual preferences
- Improved accessibility for users with visual impairments
Commercial Applications: Title: Eye Gaze Tracking for Text Layout Optimization This technology can be utilized in:
- Publishing and printing industries
- Educational software development
- Assistive technology for individuals with visual disabilities
Questions about Eye Gaze Tracking for Text Layout Optimization: 1. How does eye gaze tracking improve text layout optimization? Eye gaze tracking allows for the analysis of user reading patterns, enabling the model to arrange text in a way that enhances readability and comprehension.
2. What are the potential implications of this technology in the publishing industry? This technology could revolutionize the way text is formatted and presented in books, magazines, and other printed materials, leading to more engaging and accessible content.
Original Abstract Submitted
Gaze data collected from eye gaze tracking performed while training text was read may be used to train at least one layout interpretation model. In this way, the at least one layout interpretation model may be trained to determine current text that includes words arranged according to a layout, process the current text with the at least one layout interpretation model to determine the layout, and output the current text with the words arranged according to the layout.
