Fabio Antonio Figoli, Ryan Bruggeman, Lucia Rampino, Paolo Ciuccarelli
{"title":"AI-against-design map: A systematic review of 20 years of AI-focused studies in design research","authors":"Fabio Antonio Figoli, Ryan Bruggeman, Lucia Rampino, Paolo Ciuccarelli","doi":"10.1016/j.destud.2024.101279","DOIUrl":null,"url":null,"abstract":"<div><div>In the rapidly evolving field of Artificial Intelligence (AI) in design, identifying key subjects and their development over time can be challenging. This study addresses this challenge through a systematic review of AI in design literature over the past 20 years, aiming to discern major academic trajectories. To manage the fragmented nature of the literature, we developed the ‘AI-against-design’ method, an interpretative approach capable of identifying the scholars' position, intended as <em>Position</em> = <em>Place</em> ∪ <em>Proposition</em>, which creates a coherent body of literature and highlights key discourse patterns. This approach led to the development of the ‘AI-against-design’ map, which provides insights into current trends and serves as a tool for exploring future research directions. The scalability of this method and map allows for the future inclusion of additional sources and adaptation to other studies. This framework promises to enhance understanding and stimulate new academic inquiries into AI's role in design.</div></div>","PeriodicalId":50593,"journal":{"name":"Design Studies","volume":"96 ","pages":"Article 101279"},"PeriodicalIF":3.2000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Design Studies","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0142694X24000425","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
引用次数: 0
Abstract
In the rapidly evolving field of Artificial Intelligence (AI) in design, identifying key subjects and their development over time can be challenging. This study addresses this challenge through a systematic review of AI in design literature over the past 20 years, aiming to discern major academic trajectories. To manage the fragmented nature of the literature, we developed the ‘AI-against-design’ method, an interpretative approach capable of identifying the scholars' position, intended as Position = Place ∪ Proposition, which creates a coherent body of literature and highlights key discourse patterns. This approach led to the development of the ‘AI-against-design’ map, which provides insights into current trends and serves as a tool for exploring future research directions. The scalability of this method and map allows for the future inclusion of additional sources and adaptation to other studies. This framework promises to enhance understanding and stimulate new academic inquiries into AI's role in design.
期刊介绍:
Design Studies is a leading international academic journal focused on developing understanding of design processes. It studies design activity across all domains of application, including engineering and product design, architectural and urban design, computer artefacts and systems design. It therefore provides an interdisciplinary forum for the analysis, development and discussion of fundamental aspects of design activity, from cognition and methodology to values and philosophy.
Design Studies publishes work that is concerned with the process of designing, and is relevant to a broad audience of researchers, teachers and practitioners. We welcome original, scientific and scholarly research papers reporting studies concerned with the process of designing in all its many fields, or furthering the development and application of new knowledge relating to design process. Papers should be written to be intelligible and pertinent to a wide range of readership across different design domains. To be relevant for this journal, a paper has to offer something that gives new insight into or knowledge about the design process, or assists new development of the processes of designing.