mlsanityData to 14 Oct 2026

Natural Language Processing in-and-for Design Research

arXiv 2111.13827 ↗First posted 27 Nov 2021cs.CL cs.AI cs.DLcited by 15

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Abstract (arXiv)

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 summarizing 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.

Key facts. Cited by 15 papers in the map (data through 14 Oct 2026). Builds on 17 of its 329 references that are in the map. First posted on arXiv 27 Nov 2021.

Builds on

17 of 329 references.

References · 17

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5 more
  1. 2021Enhancing user creativity: Semantic measures for idea generationcited by 8
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Citing papers per year: 2022: 3; 2023: 8; 2024: 3; 2025: 1.

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