AHCI RESEARCH GROUP

Publications

Papers published in international journals,
proceedings of conferences, workshops and books.

OUR RESEARCH

Scientific Publications

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2025

Liu, Y.; Li, Z.

Research on the Design System of Bamboo-Woven Products Based on Traditional Bamboo-Weaving Craft VR Experience Journal Article

In: Forest Products Journal, vol. 75, no. 3, pp. 238–250, 2025, ISSN: 00157473 (ISSN), (Publisher: Forest Products Society).

Abstract | Links | BibTeX | Tags: 3D modeling, Artificial intelligence, Bamboo, Design models, Design systems, evaluation, Experience design, Function evaluation, Human computer interaction, Learn+, Low-costs, Novel techniques, Product design, Product experience, Products, Reliability analysis, Systems analysis, Systems Engineering, Techniques, user experience, User interfaces, Virtual Reality, Virtual reality experiences, Weaving, Weaving technique, Woven products

@article{liu_research_2025,

title = {Research on the Design System of Bamboo-Woven Products Based on Traditional Bamboo-Weaving Craft VR Experience},

author = {Y. Liu and Z. Li},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105013654324&doi=10.13073%2FFPJ-D-25-00005&partnerID=40&md5=d03d78771ee8194ffc8450d259b5f129},

doi = {10.13073/FPJ-D-25-00005},

issn = {00157473 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {Forest Products Journal},

volume = {75},

number = {3},

pages = {238–250},

abstract = {Virtual reality (VR) is a simulated experience capable of replicating or creating an entirely new environment. Through VR experience, designers can learn bamboo-weaving techniques at a low cost and showcase their design models of bamboo-woven products virtually, allowing these products to be put into production after experience and evaluation. This study introduces novel techniques to transform and innovate traditional bamboo-woven products to establish a comprehensive VR-based product experience design system. This system follows a pioneering pathway, including the following steps: VR weaving skill experience, generative artificial intelligence design (AIGC)–driven bamboo design creativity, 3D modeling technology support, and VR product evaluation. Moreover, the framework conducts user experience research from three dimensions: visual design, system function design, and human–computer interaction design. Usability assessments and statistical analysis were employed before and after the VR experience to assess the system’s reliability. The findings indicate that designers and users can remarkably use and evaluate the new system, offering a practical technical pathway for the modern design exploration of traditional bamboo products. © 2025 Elsevier B.V., All rights reserved.},

note = {Publisher: Forest Products Society},

keywords = {3D modeling, Artificial intelligence, Bamboo, Design models, Design systems, evaluation, Experience design, Function evaluation, Human computer interaction, Learn+, Low-costs, Novel techniques, Product design, Product experience, Products, Reliability analysis, Systems analysis, Systems Engineering, Techniques, user experience, User interfaces, Virtual Reality, Virtual reality experiences, Weaving, Weaving technique, Woven products},

pubstate = {published},

tppubtype = {article}

}

2023

Le, M. -H.; Chu, C. -B.; Le, K. -D.; Nguyen, T. V.; Tran, M. -T.; Le, T. -N.

VIDES: Virtual Interior Design via Natural Language and Visual Guidance Proceedings Article

In: Bruder, G.; Olivier, A. H.; Cunningham, A.; Peng, E. Y.; Grubert, J.; Williams, I. (Ed.): Proc. - IEEE Int. Symp. Mixed Augment. Real. Adjunct, ISMAR-Adjunct, pp. 689–694, Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 9798350328912 (ISBN).

Abstract | Links | BibTeX | Tags: Architectural design, Customisation, Cutting edge technology, Design concept, Design systems, Image editing, Image generation, Image generations, Indoor space, Interior Design, Interior designs, Interiors (building), Natural languages, Virtual Reality, Visual guidance, Visual languages

@inproceedings{le_vides_2023,

title = {VIDES: Virtual Interior Design via Natural Language and Visual Guidance},

author = {M. -H. Le and C. -B. Chu and K. -D. Le and T. V. Nguyen and M. -T. Tran and T. -N. Le},

editor = {G. Bruder and A. H. Olivier and A. Cunningham and E. Y. Peng and J. Grubert and I. Williams},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180376943&doi=10.1109%2FISMAR-Adjunct60411.2023.00148&partnerID=40&md5=3bf65eb54aa7649ca195dc2481d47d22},

doi = {10.1109/ISMAR-Adjunct60411.2023.00148},

isbn = {9798350328912 (ISBN)},

year  = {2023},

date = {2023-01-01},

booktitle = {Proc. - IEEE Int. Symp. Mixed Augment. Real. Adjunct, ISMAR-Adjunct},

pages = {689–694},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {Interior design is crucial in creating aesthetically pleasing and functional indoor spaces. However, developing and editing interior design concepts requires significant time and expertise. We propose Virtual Interior DESign (VIDES) system in response to this challenge. Leveraging cutting-edge technology in generative AI, our system can assist users in generating and editing indoor scene concepts quickly, given user text description and visual guidance. Using both visual guidance and language as the conditional inputs significantly enhances the accuracy and coherence of the generated scenes, resulting in visually appealing designs. Through extensive experimentation, we demonstrate the effectiveness of VIDES in developing new indoor concepts, changing indoor styles, and replacing and removing interior objects. The system successfully captures the essence of users' descriptions while providing flexibility for customization. Consequently, this system can potentially reduce the entry barrier for indoor design, making it more accessible to users with limited technical skills and reducing the time required to create high-quality images. Individuals who have a background in design can now easily communicate their ideas visually and effectively present their design concepts. © 2023 Elsevier B.V., All rights reserved.},

keywords = {Architectural design, Customisation, Cutting edge technology, Design concept, Design systems, Image editing, Image generation, Image generations, Indoor space, Interior Design, Interior designs, Interiors (building), Natural languages, Virtual Reality, Visual guidance, Visual languages},

pubstate = {published},

tppubtype = {inproceedings}

}