Natural language processing in-and-for design research

IF 1.8 Q3 ENGINEERING, MANUFACTURING
Design Science Pub Date : 2021-11-27 DOI:10.1017/dsj.2022.16
L. Siddharth, L. Blessing, Jianxi Luo
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引用次数: 17

Abstract

Abstract We review the scholarly contributions that utilise natural language processing (NLP) techniques to support the design process. Using a heuristic approach, we gathered 223 articles that are published in 32 journals within the period 1991–present. We present state-of-the-art NLP in-and-for design research by reviewing these articles according to the type of natural language text sources: internal reports, design concepts, discourse transcripts, technical publications, consumer opinions and others. Upon summarising and identifying the gaps in these contributions, we utilise an existing design innovation framework to identify the applications that are currently being supported by NLP. We then propose a few methodological and theoretical directions for future NLP in-and-for design research.
设计研究中的自然语言处理
我们回顾了利用自然语言处理(NLP)技术来支持设计过程的学术贡献。使用启发式方法,我们收集了1991年至今在32种期刊上发表的223篇文章。我们根据自然语言文本来源的类型,通过回顾这些文章,呈现最先进的设计研究中的NLP:内部报告、设计概念、话语文本、技术出版物、消费者意见等。在总结和确定这些贡献的差距后,我们利用现有的设计创新框架来确定目前由NLP支持的应用程序。然后,我们为未来的设计研究提出了一些方法和理论方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Design Science
Design Science ENGINEERING, MANUFACTURING-
CiteScore
4.80
自引率
12.50%
发文量
19
审稿时长
22 weeks
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