Pedagogy and Professional Development

Collaboration Between Fashion and Engineering: How Do Fashion Students Apply the Visual Attention Prediction?

Authors
  • Seung-Hee Lee (Southern Illinoise University)
  • Ying Chen (Southern Illinois University)
  • Gokarna Karki (Southern Illinois University)
  • Pukar Bhandari (Southern Illinois University)
  • Jun Qin (Southern Illinois University)

Abstract

This project aims to (1) help students understand and experience saliency-based models for visual attention prediction- an innovative program developed by the engineering faculty; (2) enable fashion educators to use these saliency prediction models for the curriculum;and (3) apply the results of this collaborative education to the career development of fashion students. For this project, engineering researchers developed an educational tool using MATLAB software for fashion students to understand saliency prediction models. The researchers explained the learning objectives and introduced the fashion undergraduate students to saliency maps,distributing guidelines for using the MATLAB. This project consists of four parts: Mouse-click and eye-tracking heat map, Create saliency models, Practice,and Assessment. This project provided fashion students with a unique, new, and innovative learning experience. 

Keywords: collaboration, fashion and engineering, visual attention prediction

How to Cite:

Lee, S., Chen, Y., Karki, G., Bhandari, P. & Qin, J., (2024) “Collaboration Between Fashion and Engineering: How Do Fashion Students Apply the Visual Attention Prediction?”, International Textile and Apparel Association Annual Conference Proceedings 80(1). doi: https://doi.org/10.31274/itaa.17353

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Published on
23 Jan 2024
Peer Reviewed