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A Data-Driven NLP Approach to Analyzing Framing and Reframing in Design Protocols
Conference proceeding   Open access

A Data-Driven NLP Approach to Analyzing Framing and Reframing in Design Protocols

Hernan Casakin, Hadas Sopher, Or H. Anidjar and John S. Gero
Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024),, v 2, pp 547-556
01 Jan 2024
url
https://doi.org/10.52842/conf.ecaade.2024.2.547View
Published, Version of Record (VoR) Open

Abstract

Computer Science, Interdisciplinary Applications Construction & Building Technology Engineering, Civil Science & Technology Computer Science Engineering Technology
This study introduces a novel data-driven approach to quantitatively characterize and measure framing and reframing (F-RF) behaviors during design problem-solving. F-RF are cognitive processes which shape problem understanding and solution development in design. Quantitative measurement methods for F-RF remain largely unexplored. The proposed approach utilizes protocol analysis combined with Natural Language Processing (NLP) algorithms to track the occurrences and re-occurrences of design concepts expressed verbally while designing. Specifically, NLP algorithms are employed to identify F-RF, enabling the systematic tracking of F-RFs and their corresponding semantic values. By calculating the semantic value of concepts and frames, the approach enables determining how a concept and a frame differed from the previous occurrences. A case study of an architect and a student demonstrates this data-driven approach. The proposed methodology holds potential for the development of systems capable of providing real-time feedback to students and professional designers, supporting and enhancing their framing skills during the design process.

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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Computer Science, Interdisciplinary Applications
Construction & Building Technology
Engineering, Civil
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