Quantitative Methods for Studying Design Protocols

1. Front Matter

   Pages i-ix

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2. Introduction

   • Jeff W. T. Kan, John S. Gero

   Pages 1-4

3. Background

   • Jeff W. T. Kan, John S. Gero

   Pages 5-15

4. Theoretical Framework

   • Jeff W. T. Kan, John S. Gero

   Pages 17-53

5. Ontologically-Based Studies of Design Protocols

   • Jeff W. T. Kan, John S. Gero

   Pages 55-92

6. Pilot Study of Statistical and Entropic Description of Linkographs

   • Jeff W. T. Kan, John S. Gero

   Pages 93-112

7. Entropic Measurement and Design Outcome

   • Jeff W. T. Kan, John S. Gero

   Pages 113-129

8. Conclusions

   • Jeff W. T. Kan, John S. Gero

   Pages 131-137

9. Back Matter

   Pages 139-180

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This book is aimed at researchers and students who would like to engage in and deepen their understanding of design cognition research. The book presents new approaches for analyzing design thinking and proposes methods of measuring design processes. These methods seek to quantify design issues and design processes that are defined based on notions from the Function-Behavior-Structure (FBS) design ontology and from linkography. A linkograph is a network of linked design moves or segments. FBS ontology concepts have been used in both design theory and design thinking research and have yielded numerous results. Linkography is one of the most influential and elegant design cognition research methods. In this book Kan and Gero provide novel and state-of-the-art methods of analyzing design protocols that offer insights into design cognition by integrating segmentation with linkography by assigning FBS-based codes to design moves or segments and treating links as FBS transformation processes. They propose and test information entropy as a means to capture the information carried by a linkograph and correlate it with the design outcomes.

• Design Cognition
• Quantitative Methods
• Protocol Analysis
• FBS
• Linkography
• Design Ontology
• Information Entropy

• Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong

  Jeff WT Kan

• Computer Science and Architecture, University of North Carolina at Charlotte, and Krasnow Institute for Advanced Study, George Mason University, Fairfax, USA

  John S Gero

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