Journal article
Pattern Recognition: Identifying a Gap in the Surface Pattern Design Literature
Textile, Vol.Advanced access
17-Mar-2026
Abstract
This article focuses on the present gap in academic design literature of surface pattern design. Presented in the form of a literature review, the article explores the premise that there is insufficient research into the methods of practice performed by surface pattern designers. Through this article, I argue the need for increased critical analysis of the practice of surface pattern design to provide transparency around the complexities of working in this field. Enhanced understanding of these practices will contribute new knowledge to the creative discourse which may elevate the perception and perceived value of this unique field of practice.
Details
- Title
- Pattern Recognition: Identifying a Gap in the Surface Pattern Design Literature
- Authors
- Marni Stuart (Corresponding Author) - University of the Sunshine Coast
- Publication details
- Textile, Vol.Advanced access
- Publisher
- Taylor & Francis
- DOI
- 10.1080/14759756.2026.2634986
- ISSN
- 1751-8350
- Copyright note
- © 2026 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
- Organisation Unit
- School of Business and Creative Industries
- Language
- English
- Record Identifier
- 991216243402621
- Output Type
- Journal article
Metrics
1 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Web Of Science research areas
- Humanities, Multidisciplinary