A Data-Driven Iterative Design Optimization Approach for Smart Textile Installations Based on Physical Prototype Feedback

Shun Tian; Linxi Cai; Jincha Ye

doi:10.2478/ftee-2026-0008

.blurhash-client-img { display: none !important; }

A Data-Driven Iterative Design Optimization Approach for Smart Textile Installations Based on Physical Prototype Feedback

Fibres & Textiles in Eastern Europe

Volume 34 (2026): Issue 1 (February 2026)

By: Shun Tian, Linxi Cai and Jincha Ye

Open Access

|Sep 2026

Abstract

This study proposes a case study-based approach to optimizing smart textile installation design by applying the Kano model to user feedback derived from physical prototypes. Taking an optical fiber art installation as the experimental subject, the research employs questionnaire surveys and Kano model analysis to categorize 17 design attributes and prioritize them using sensitivity coefficients. This process delineates a detailed pathway for design refinement, demonstrating the relationship between prototype feedback and design optimization. The results establish a “prototype-to-optimization” framework that mitigates user dissatisfaction risks in large-scale smart installations and offers practical strategies for enhancing the synergy between technology and design.

References

Mlakar S., Preindl T., Pointner A., Haberfellner M.A., Danner R., Aigner R., et al. The sound of textile: An interactive tactile-sonic installation. In: ARTECH 2021: Proceedings of the 10th International Conference on Digital and Interactive Arts; 2021 Oct 13–15. ACM; 2021. p. 95.
Search in Google Scholar Back to article
Jonsson E., Kooroshnia M. Creating sensuous experiences: Combining dichroic filters and textile weaving to create aesthetic spatial installations. Color Research and Application, 2023; 48(5): 484–496.
Search in Google Scholar Back to article
Huang X., Romano D.M. Coral morph: An artistic shape-changing textile installation for mindful emotion regulation in the wild. International Journal of Human–Computer Interaction, 2025; 41(2): 1173–1189.
Search in Google Scholar Back to article
Küre S. Mekan ilişkisi bağlamında; Tekstil malzemesinin sanat ürünü olarak kullanilmasi ve enstalasyon kavramı [dissertation]. Maltepe University; 2022.
Search in Google Scholar Back to article
Martin F., Mikhak B., Silverman B. MetaCricket: A designer’s kit for making computational devices. IBM Systems Journal, 2000; 39(3–4): 795–815.
Search in Google Scholar Back to article
Bentley J.P. Temperature sensor characteristics and measurement system design. Journal of Physics E: Scientific Instruments, 1984; 17(6): 430
Search in Google Scholar Back to article
Heradio R., Chacon J., Vargas H., et al. Open-source hardware in education: A systematic mapping study. IEEE Access, 2018; 6: 72094–72103.
Search in Google Scholar Back to article
Chen X., Ibrahim Z. A comprehensive study of emotional responses in ai-enhanced interactive installation art. Sustainability, 2023; 15(22): 15830.
Search in Google Scholar Back to article
Addanki S., Amiri I.S., Yupapin P. Review of optical fibers-introduction and applications in fiber lasers. Results in Physics, 2018; 10: 743–750.
Search in Google Scholar Back to article
Raji R.K., Qin L., Ning L., Liu H. Optical fibers in the design and fabrication of smart garments – a review. Fibres & Textiles in Eastern Europe, 2022; 30(1): 31–42.
Search in Google Scholar Back to article
Selm B., Gürel E.A., Rothmaier M., Rossi R.M., Scherer L.J. Polymeric optical fiber fabrics for illumination and sensorial applications in textiles. Journal of Intelligent Material Systems and Structures, 2010; 21(11): 1061–1071.
Search in Google Scholar Back to article
Koyama Y., Nishiyama M., Watanabe K. Smart textile with plain weave structure using hetero-core optical fiber sensor and wool threads. In: Proceedings of the 2018 International Conference on Intelligent Autonomous Systems (ICoIAS); 2018 Mar 1–3; IEEE; 2018: pp. 18–22.
Search in Google Scholar Back to article
Vermaak N., Daviy J., San Fratello V. Leveraging materials in topology optimization: Inspiration from design, fashion, art, and architecture. JOM, 2021; 73(7): 2006–2011.
Search in Google Scholar Back to article
Su J., Li H.L. Optimized art design model with statistical model with digital media. International Journal of Maritime Engineering, 2024;1(1): 371–382.
Search in Google Scholar Back to article
Nyamekye P., Lakshmanan R., Tepponen V., Westman S. Sustainability aspects of additive manufacturing: Leveraging resource efficiency via product design optimization and laser powder bed fusion. Heliyon, 2024; 10(1): e23152.
Search in Google Scholar Back to article
Chen C.J., Usman M. Design optimisation for automotive applications. International Journal of Vehicle Design, 2001; 25(1–2): 126–141.
Search in Google Scholar Back to article
Shahin A., Pourhamidi M., Antony J., et al. Typology of Kano models: A critical review of literature and proposition of a revised model. International Journal of Quality & Reliability Management, 2013; 30(3):341–358.
Search in Google Scholar Back to article
Xu Q., Jiao R.J., Yang X., et al. An analytical Kano model for customer need analysis. Design Studies, 2009; 30(1): 87–110.
Search in Google Scholar Back to article
Lin F.H., Tsai S.B., Lee Y.C., et al. Empirical research on Kano’s model and customer satisfaction. PLoS One, 2017; 12(9): e0183888.
Search in Google Scholar Back to article
Dash S.K. Identifying and classifying attributes of packaging for customer satisfaction: A Kano model approach. International Journal of Production Management and Engineering, 2021; 9(1): 57–64.
Search in Google Scholar Back to article
Berger C., Blauth R., Boger D., et al. Kano’s methods for understanding customer-defined quality. Center Quality Management Journal, 1993; 2(4): 3–36.
Search in Google Scholar Back to article
Li Z.Q., Hu S.Y., Wang J.H., et al. Functional requirements and design strategy of E-sports chair based on the KANO model. BioResources, 2024; 19(3): 4679–4697.
Search in Google Scholar Back to article
Li Z., Wang Y., Hu S., Chen J. Research on the demand of Chinese traditional blue dyeing products based on Kano model. Journal of Silk, 2023; 59(5): 103–110.
Search in Google Scholar Back to article
Witzel C., Gegenfurtner K.R. Color perception: objects, constancy, and categories. Annual Review of Vision Science, 2018; 4: 475–499.
Search in Google Scholar Back to article

Articles in this issue

DOI: https://doi.org/10.2478/ftee-2026-0008 | Journal eISSN: 2300-7354 | Journal ISSN: 1230-3666

Journal RSS Feed

Language: English

Page range: 90 - 100

Submitted on: Nov 14, 2025

Accepted on: Jul 14, 2026

Published on: Sep 17, 2026

Published by: Łukasiewicz Research Network-Łódź Institute of Technology

In partnership with: Paradigm Publishing Services

Publication frequency: Volume open

Keywords:

Smart textile installation,

Physical prototype evaluation,

Design optimization,

Optical fiber materials,

Kano model

Related subjects:

Business and economics,

Business management,

Business informatics,

Process management,

Industrial chemistry,

Cellulose, paper and textiles,

Polymer science and technology,

Materials sciences,

Biomaterials and natural materials

© 2026 Shun Tian, Linxi Cai, Jincha Ye, published by Łukasiewicz Research Network-Łódź Institute of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 34 (2026): Issue 1 (February 2026)