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Computational Design: Technology, Cognition and Environments [Kõva köide]

, (University of Newcastle, Australia), (University of South Australia)
  • Formaat: Hardback, 242 pages, kõrgus x laius: 234x156 mm, kaal: 562 g, 33 Tables, black and white; 7 Illustrations, color; 43 Illustrations, black and white
  • Ilmumisaeg: 12-Aug-2021
  • Kirjastus: CRC Press
  • ISBN-10: 0367203065
  • ISBN-13: 9780367203061
  • Formaat: Hardback, 242 pages, kõrgus x laius: 234x156 mm, kaal: 562 g, 33 Tables, black and white; 7 Illustrations, color; 43 Illustrations, black and white
  • Ilmumisaeg: 12-Aug-2021
  • Kirjastus: CRC Press
  • ISBN-10: 0367203065
  • ISBN-13: 9780367203061
"With the rapid emergence and adoption of new computational design technologies in the design field, it is important to critically understand how designers response to those new environments. This book systematically explores the impact of emerging computational design environments on design and designers. It offers an unique opportunity to look into design thinking in the current digital age"--

New computational design tools have evolved rapidly and been increasingly applied in the field of design in recent years, complimenting and even replacing the traditional design media and approaches. Design as both the process and product are changing due to the emergence and adoption of these new technologies. Understanding and assessing the impact of these new computational design environments on design and designers is important for advancing design in the contemporary context. Do these new computational environments support or hinder design creativity? How do those tools facilitate designers’ thinking? Such knowledge is also important for the future development of design technologies. Research shows that design is never a mysterious non-understandable process, for example, one general view is that design process shares a common analysis-synthesis-evaluation model, during which designers interact between design problem and solution spaces. Understanding designers’ thinking in different environments is the key to design research, education and practice.

This book focuses on emerging computational design environments, whose impact on design and designers have not been comprehensively and systematically studied. It comprises three parts. The history and recent developments of computational design technologies are introduced in Part I. The main categories of technologies cover from computer-aided drafting and modelling tools, to visual programming and scripting tools for algorithmic design, to advanced interfaces and platforms for interactions between designers, between designers and computers, and between the virtual environment and the physical reality. To critically explore design thinking, especially in these new computational design environments, formal approaches to studying design thinking and design cognition are introduced and compared in Part II, drawing on literature and studies from the 70s to the current era. Part III concludes the book by exploring the impact of different computational design technologies on design and designers, using a series of case studies conducted by the author team building on their close collaboration over the past five years. The book offers new insights into designers’ thinking in the rapidly evolving computational design environments, which have not been critically and systematically studied and reported in the current literature.

The book is meant for design researchers, educators and students, professional practitioners and consultants, as well as people who are interested in computational design in general.

Acknowledgements iii
Preface v
1 Introduction 1(9)
1.1 Computational design
1(2)
1.2 Design technology, cognition and design environment
3(3)
1.3 Summary of chapters
6(1)
1.4 Context for the book
7(3)
2 Emergent Technologies in Computational Design 10(48)
2.1 Introduction
12(8)
2.1.1 History of CAD
12(2)
2.1.2 Evolution of digital modelling devices
14(2)
2.1.3 Evolution of CAD software and hardware
16(4)
2.2 Parametric and generative design
20(15)
2.2.1 Key concepts and characteristics of generative design
21(2)
2.2.2 Major generative design systems
23(3)
2.2.3 Key concepts in parametric design
26(4)
2.2.4 History and application of parametric design
30(5)
2.3 Presence and telepresence, virtual and real worlds
35(13)
2.3.1 Telepresence
35(1)
2.3.2 Augmented Reality
36(9)
2.3.3 Virtual Reality
45(3)
2.4 Conclusion
48(10)
3 Understanding Design Cognition in Computational and Generative Design 58(43)
3.1 Design cognition
59(7)
3.1.1 Design thinking
60(1)
3.1.2 Design problems and design solutions
61(1)
3.1.3 Design creativity
62(4)
3.2 Formal approaches to studying design cognition
66(11)
3.2.1 Protocol analysis
66(6)
3.2.2 Biometric approaches to studying design cognition
72(5)
3.3 Design cognition in the computational design environment
77(6)
3.3.1 Computational thinking and design thinking
77(1)
3.3.2 Design cognition in the computational environment
78 (2)
3.3.3 Design cognition in the Parametric Design Environment (PDE)
80(3)
3.4 Conclusion
83(18)
4 Cognitive Impacts and Computational Design Environments 101(96)
4.1 Introduction
101(3)
4.2 Case study 1: Designers' behaviour in parametric and geometric design environments
104(21)
4.2.1 Research design
107(1)
4.2.2 Result 1: Design issues and processes
108(3)
4.2.3 Result 2: Designers' cognitive effort
111(4)
4.2.4 Result 3: Design patterns
115(2)
4.2.5 Result 4: Co-evolution process in parametric design
117 (8)
4.3 Case study 2: Cognitive studies of design collaboration in a virtual environment
125(6)
4.3.1 Collaborative design studies and technologies
126(2)
4.3.2 Experiments and coding scheme
128(1)
4.3.3 Protocol analysis results and discussion
129(2)
4.4 Case study 3: A biometric approach to analysing cognitive behaviour in a CAD environment
131(7)
4.4.1 Experiment
132(1)
4.4.2 Results
132(6)
4.5 Case study 4: Implementing rules in design, using generative design grammars
138(8)
4.5.1 Design grammars
138(1)
4.5.2 The conceptual framework of generative design grammars
139(1)
4.5.3 Design rules
140(4)
4.5.4 Designing a virtual gallery
144(2)
4.6 Case study 5.1: Generating new design instances of an existing style using computational analysis
146(17)
4.6.1 Stage 1: Syntactical derivation
147(6)
4.6.2 Stage 2: Parametric generation
153(4)
4.6.3 Stage 3: Fractal analysis
157(6)
4.7 Case study 5.2: Transparency and mystery in traditional Chinese private gardens
163(11)
4.7.1 Pedestrian accessibility convex map analysis
164(1)
4.7.2 Visual accessibility based isovist analysis
165(1)
4.7.3 Hypothesis framing
166(1)
4.7.4 Exploration of Yuyuan Garden's transparency and mystery
166(8)
4.8 Case study 6: Creativity in a parametric design environment
174(10)
4.8.1 Research design
175(1)
4.8.2 Analysis of results
176(8)
4.9 Conclusion
184(13)
5 Conclusion 197(12)
5.1 A conceptual model
197(7)
5.2 Looking into the future of computational design
204(3)
5.2.1 Design technology: Implications and future developments
204(1)
5.2.2 Design cognition: Implications and future developments
205(1)
5.2.3 Design environment: Implications and future developments
206(1)
5.3 Conclusion
207(2)
Appendix: Coding Example for Case Study 1 209(29)
Appendix of Images Sources 238(2)
Index 240
Dr. Rongrong Yu is a lecturer in Architecture & Design at Griffith University, Australia. Her research areas include computational design, design cognition and computational design analysis. Dr Yus research has been published in high impact journals and major international conferences, within architecture and design computing fields. Shes also a reviewer and editorial board member for a number of international journals and conferences.

Professor Ning Gu is Professor in Architecture at University of South Australia (UniSA). His most significant research contributions are in design computing and cognition. The outcomes of his research have been documented in over 190 peer-reviewed publications, supported by funding from the Australian Research Council, Office for Learning and Teaching and Cooperative Research Centres. He is an Associate Editor of Architectural Science Review and has guest edited/chaired major international journals/conferences in the field.

Professor Michael J. Ostwald is Associate Dean of Research and Professor of Architectural Analytics at UNSW, Sydney. He has a PhD in architectural history and theory and a DSc in design mathematics and computing. Michael is Co-Editor-in-Chief of the Nexus Network Journal: Architecture and Mathematics (Springer) and the editorial board member of ARQ (Cambridge) and Architectural Theory Review (Taylor and Francis).