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Journal of Information Technology in Construction
Article . 2025 . Peer-reviewed
License: CC BY
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Article . 2025
License: CC BY
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Understanding Design Rationale and Intent through Natural Language Processing analysis: A search for Consensus

Authors: Simon Wyke; Søren Munch Lindhard;

Understanding Design Rationale and Intent through Natural Language Processing analysis: A search for Consensus

Abstract

Design and construction projects have become increasingly complex throughout recent decades, resulting in a heightened focus on knowledge management. Two specific knowledge types, which have received consideration in the literature are design intent and design rationale, as means for describing what is designed and why a design is the way it is. However, a definition of what design rationale and design intent are and what they consist of, in context of the AEC industry, has not been fully explored. In this study, a literature review, was conducted to summarise the definitions of design rationale and intent presented in the existing body of scientific literature across scientific disciplines. Both qualitative evaluation of the identified literature and Natural Language Processing (NLP) was utilised, identifying the distinctions between design rationale and design intent, and their hidden specificities. The study revealed that a design project must have both explicit design rationale and intent available to be successful, which can guide a designer or project manager in the direction of unexplored design alternatives if something in the design must be changed, instead of exploring already tested and discarded solutions. The study, furthermore, showed that having DR and DI available can support decision makers during design, pre-planning, and construction to ensure that their design solution lives up to the intent of the designer or building owner, through specifying the explicit justification for the solution, and not just what the solution is, should be, or consist of.

Country
Denmark
Keywords

Literature review, Design Rationale, Design Intent, Design rationale, Design intent, , Building information management, Natural Language Processing (NLS), Building Information Management, Natural Language Processing (NLP), /dk/atira/pure/sustainabledevelopmentgoals/industry_innovation_and_infrastructure; name=SDG 9 - Industry, Innovation, and Infrastructure, Literature Review, Natural Language Processing

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    popularity
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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
Published in a Diamond OA journal