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Related Experiment Video

Updated: Jun 27, 2025

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
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Multiangle perception-oriented environmental facility design method based on joint fuzzy decision-making and transfer

Siconghui Yao1

  • 1College of Art and Design, Sias University, Zhengzhou, China.

Peerj. Computer Science
|April 25, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a new joint algorithm combining perceptual fuzzy decision-making and design transfer learning for environmental facility planning. The innovative approach significantly improves accuracy in temperature and lighting design, enhancing user satisfaction.

Keywords:
Deep learningEnvironmental facility designFuzzy decision-making methodMethod fusionPerceived multi angle tasksTransfer learning

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Area of Science:

  • Environmental Design
  • Computational Intelligence
  • Human-Computer Interaction

Background:

  • Increasing demand for environmental facilities necessitates improved design and planning methods.
  • Traditional methods often fail to meet user expectations due to limited perspectives.
  • User-centered design is crucial for effective environmental facility development.

Purpose of the Study:

  • To propose a novel joint algorithm for environmental facility design.
  • To integrate perceptual fuzzy decision-making and design transfer learning.
  • To develop a framework considering human, environmental, and cultural factors.

Main Methods:

  • Selected perceptual fuzzy decision-making and design transfer learning.
  • Combined these methods to create a joint algorithm.
  • Constructed a joint processing framework incorporating human factors, environmental parameters, and cultural values.

Main Results:

  • The joint algorithm demonstrated improved accuracy in temperature control design (17.7-19.6% increase).
  • Lighting design results showed significant improvement (16.7-20.2% increase).
  • The method exhibits comprehensive consideration of dimensional requirements and good migration performance.

Conclusions:

  • The proposed joint algorithm offers a more effective approach to environmental facility design.
  • This method enhances accuracy and user satisfaction compared to traditional algorithms.
  • Further research will explore broader applicability in diverse scenarios.