Latest articles


ISSN: 2959-0078(Print), 2959-0086(Online)

Frequency: Quarterly

Academic and Editorial Committee

The JDSSI is an academic design journal founded in February 2023, and distributes high-quality, original research and operates worldwide academic journals with peer-review and open access (print and online simultaneous publication quarterly).

Thematic research articles, literature review, and book reviews are the three types of original articles accepted by the journal. Among the subjects addressed are design service and assessment, social innovation theory and practice, and design as a driving strategy for social and cultural construction. It intends to devote itself to the debate of multifaceted design problems and the value of social innovation through the sharing of innovative design ideas and solutions. 

Submit your manuscript: jdssi.editorialmanager03@gmail.com;  journal_dssi@yeah.net 


See Instructions for authors for manuscript requirements. 


February 22th, 2024

Open Access




Journal of Design Service and Social Innovation (JDSSI) is an international academic journal published by MSPLJDSSI implements peer-reviewed, open access policy for original articles, and published four times a year (quarterly) in both print and online formats. All articles in JDSSI are under the Creative Commons Attribution License (CC BY-NC-ND, version 4.0). Copyright for each article belongs to its author(s) and is published by Michelangelo-scholar Publish Ltd.


JDSSI covers the fields of design service, social innovation, and design culture, and is an academic platform dedicated to the study of design issues and the exploration of social innovation service approaches. JDSSI aims to share innovative design ideas and solutions, explore issues such as sustainable design and consumer services and promote design for harmonious social development and multicultural exchange, with a particular focus on the dissemination of design theories and ideas between East and West across cultures. It hopes to promote the development of design and culture between East and West, and strives to be in the leading position in this fieldResearchers from different fields are welcome to submit manuscripts.

Call for papers

Vol 2, 2024



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Nanqiao Shi *

Yang Xu,

by

and

Xianmeng Zhao,

Qingnan Li,

Dake Liu,

Keywords: Generative Adversarial Networks; Architecture design; Deep learning; Intelligent buildings; Design methods
Open Access
Research Article

Abstract: Purpose: To review and analyze the research status of the application of generative adversarial networks (GANs) in the field of architecture design. Methods: This study followed the latest PRISMA guidelines and systematically collected relevant research literature from domestic and international sources. In-depth analysis was conducted on 95 representative Chinese and English language articles. During the analysis process, three dimensions of intelligent architectural generation methods were comprehensively and deeply explored: the data application scale, algorithm type, and architectural design process. Results: (1) GANs have been applied to various processes in architectural design practice, from design generation, development, and evaluation to final solution expression; (2) GANs can be applied at different architectural scales, ranging from large-scale complex functional buildings to refined layout designs of residential units; (3) the appearance of GANs enables designers to quickly present design results at various stages, greatly improving work efficiency; and (4) at present, GANs also have many shortcomings, mainly reflected in the accuracy of the data and the usability of tools. Conclusion: Improvements in computer performance and the enrichment of data resources have promoted the widespread application of intelligent architectural generation methods. GANs have great potential in the field of architectural design and can provide a more efficient, flexible, and diverse design process. However, further research and development are needed to address the challenges and limitations of using GANs in this field.


 


The Applications of Generative Adversarial Networks in Architecture Design: A Systematic Review



JDSSI 2024, 2(1), 1-15; https://doi.org/10.59528/ms.jdssi2024.0130a14 - January 30, 2024


Keywords: Illustration; Tea packaging; The Ancient Tea-Horse Road; Ya’an Tibetan Tea
Open Access
Research Article

Abstract: This study explores the modernization of tea packaging, departing from traditional landscape-themed illustrations to resonate with younger consumers. With a focus on the Ancient Tea-Horse Road theme and Ya’an Tibetan tea, various methodologies are employed: Literature Review: Illustration styles are analyzed across historical periods to inform modern design choices. Case Analysis: Existing tea packaging designs, particularly those targeting young consumers, and integrating elements of the Ancient Tea-Horse Road, are examined. Field Research: The historical and cultural significance of the Ancient Tea-Horse Road are investigated. Design Implementation: Computer software blended hand-drawn images with modern images. By infusing the essence of the Ancient Tea-Horse Road into Ya’an Tibetan tea packaging through modern illustrations, this study aims to create a visually appealing product that bridges tradition with contemporary aesthetics. This approach revitalizes traditional themes, enhancing product distinctiveness and market competitiveness.


Siqi Lin,

by

Yu-Lin Hsu *

 


Application of the Ancient Tea-Horse Road Illustrations in Ya’an Tibetan Tea Packaging



JDSSI 2024, 2(1), 16-36; https://doi.org/10.59528/ms.jdssi2024.0330a15 - March 30, 2024