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A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
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An eye- tracking technology and MLP-based color matching design method.

Yinhong Hua1, Jianlin Ni2, Honglei Lu3

  • 1School of Fine Arts, Nanjing Normal University, Nanjing, 210000, China. lyhuayinhong@163.com.

Scientific Reports
|January 23, 2023
PubMed
Summary

This study introduces a novel method for product color design using eye-tracking technology and a multilayer perceptron neural network (MLP) algorithm. It effectively translates animated image colors into product color schemes, aiding designers.

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Area of Science:

  • * Human-Computer Interaction
  • * Color Theory
  • * Artificial Intelligence

Background:

  • * Product color design often relies on static images, lacking inspiration from dynamic animated visuals.
  • * Translating colors from animated sources to physical products presents a challenge for designers.
  • * Existing methods may not effectively capture user preferences for color schemes.

Purpose of the Study:

  • * To develop a method for extracting colors from animated images using eye-tracking data.
  • * To train a product color decision model using a multilayer perceptron neural network (MLP) algorithm.
  • * To effectively convert animated colors into viable product color schemes for consumer goods.

Main Methods:

  • * Utilized eye-tracking technology to identify hotspots of user attention on animated images.

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  • * Extracted key colors based on the distribution of eye-tracking hotspots.
  • * Employed a multilayer perceptron neural network (MLP) to train a color decision model for product selection.

    • Main Results:

    • * Demonstrated effective color extraction from animated images via eye-tracking.
    • * Successfully trained an MLP model to filter optimal product color schemes.
    • * Achieved accurate conversion of animated colors to a three-color children's shopping cart product.

    Conclusions:

    • * Eye-tracking technology combined with intelligent algorithms enables effective color transfer from animation to products.
    • * This approach expands the source of inspiration for product color design.
    • * The proposed method accurately identifies color schemes that align with both animated visuals and product aesthetics.