Design and Product Development

Supporting Technical Designers' Decision-Making in the Era of Artificial Intelligence

Authors
  • Mona Maher (Cornell University)
  • Fatma Baytar (Cornell University)

Abstract

The advent of simulation technologies has afforded technical designers invaluable learning opportunities to enhance the fit of garments through iterative processes between 2D and 3D environments, thereby facilitating the retention of crucial information. Despite the scarcity of AI studies in digital apparel product development, none have hitherto considered the perspectives of technical designers in optimizing fit requirements. In this study, we present a conceptual framework built upon the seminal work of Robinette& Veich (2016), guiding a focused integration of AI into apparel product development. This framework not only identifies critical areas of emphasis but also serves as a foundation for future researchers exploring new frontiers in the era of AI, contributing to the advancement of our field. Additionally, we introduce the term 'AI-based technical designer' and provide a comprehensive overview of its transformative capabilities, grounded in Actor-Network Theory (ANT).

Keywords: AI, Apparel Technical Design, Technology

How to Cite:

Maher, M. & Baytar, F., (2024) “Supporting Technical Designers' Decision-Making in the Era of Artificial Intelligence”, International Textile and Apparel Association Annual Conference Proceedings 80(1). doi: https://doi.org/10.31274/itaa.17310

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Published on
22 Jan 2024
Peer Reviewed