TY - GEN
T1 - A Data-Driven NLP Approach to Analyzing Framing and Reframing in Design Protocols
AU - Casakin, Hernan
AU - Sopher, Hadas
AU - Anidjar, Or H.
AU - Gero, John S.
N1 - Publisher Copyright:
© 2024, Education and research in Computer Aided Architectural Design in Europe. All rights reserved.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Data-driven approach
KW - Design concept
KW - Design problem-solving
KW - Framing and reframing
KW - Natural Language Processing (NLP)
UR - http://www.scopus.com/inward/record.url?scp=85210248661&partnerID=8YFLogxK
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AN - SCOPUS:85210248661
SN - 9789491207389
T3 - Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe
SP - 547
EP - 556
BT - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2024
A2 - Kontovourkis, Odysseas
A2 - Phocas, Marios C.
A2 - Wurzer, Gabriel
PB - Education and research in Computer Aided Architectural Design in Europe
T2 - 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2024
Y2 - 9 September 2024 through 13 September 2024
ER -