Acknowledgements |
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iii | |
Preface |
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v | |
1 Introduction |
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1 | (9) |
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1 | (2) |
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1.2 Design technology, cognition and design environment |
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3 | (3) |
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6 | (1) |
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7 | (3) |
2 Emergent Technologies in Computational Design |
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10 | (48) |
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12 | (8) |
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12 | (2) |
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2.1.2 Evolution of digital modelling devices |
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14 | (2) |
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2.1.3 Evolution of CAD software and hardware |
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16 | (4) |
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2.2 Parametric and generative design |
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20 | (15) |
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2.2.1 Key concepts and characteristics of generative design |
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21 | (2) |
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2.2.2 Major generative design systems |
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23 | (3) |
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2.2.3 Key concepts in parametric design |
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26 | (4) |
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2.2.4 History and application of parametric design |
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30 | (5) |
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2.3 Presence and telepresence, virtual and real worlds |
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35 | (13) |
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35 | (1) |
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36 | (9) |
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45 | (3) |
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48 | (10) |
3 Understanding Design Cognition in Computational and Generative Design |
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58 | (43) |
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59 | (7) |
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60 | (1) |
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3.1.2 Design problems and design solutions |
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61 | (1) |
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62 | (4) |
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3.2 Formal approaches to studying design cognition |
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66 | (11) |
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66 | (6) |
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3.2.2 Biometric approaches to studying design cognition |
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72 | (5) |
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3.3 Design cognition in the computational design environment |
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77 | (6) |
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3.3.1 Computational thinking and design thinking |
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77 | (1) |
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3.3.2 Design cognition in the computational environment |
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78 | (2) |
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3.3.3 Design cognition in the Parametric Design Environment (PDE) |
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80 | (3) |
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83 | (18) |
4 Cognitive Impacts and Computational Design Environments |
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101 | (96) |
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101 | (3) |
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4.2 Case study 1: Designers' behaviour in parametric and geometric design environments |
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104 | (21) |
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107 | (1) |
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4.2.2 Result 1: Design issues and processes |
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108 | (3) |
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4.2.3 Result 2: Designers' cognitive effort |
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111 | (4) |
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4.2.4 Result 3: Design patterns |
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115 | (2) |
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4.2.5 Result 4: Co-evolution process in parametric design |
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117 | (8) |
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4.3 Case study 2: Cognitive studies of design collaboration in a virtual environment |
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125 | (6) |
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4.3.1 Collaborative design studies and technologies |
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126 | (2) |
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4.3.2 Experiments and coding scheme |
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128 | (1) |
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4.3.3 Protocol analysis results and discussion |
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129 | (2) |
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4.4 Case study 3: A biometric approach to analysing cognitive behaviour in a CAD environment |
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131 | (7) |
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132 | (1) |
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132 | (6) |
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4.5 Case study 4: Implementing rules in design, using generative design grammars |
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138 | (8) |
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138 | (1) |
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4.5.2 The conceptual framework of generative design grammars |
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139 | (1) |
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140 | (4) |
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4.5.4 Designing a virtual gallery |
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144 | (2) |
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4.6 Case study 5.1: Generating new design instances of an existing style using computational analysis |
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146 | (17) |
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4.6.1 Stage 1: Syntactical derivation |
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147 | (6) |
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4.6.2 Stage 2: Parametric generation |
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153 | (4) |
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4.6.3 Stage 3: Fractal analysis |
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157 | (6) |
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4.7 Case study 5.2: Transparency and mystery in traditional Chinese private gardens |
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163 | (11) |
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4.7.1 Pedestrian accessibility convex map analysis |
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164 | (1) |
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4.7.2 Visual accessibility based isovist analysis |
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165 | (1) |
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166 | (1) |
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4.7.4 Exploration of Yuyuan Garden's transparency and mystery |
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166 | (8) |
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4.8 Case study 6: Creativity in a parametric design environment |
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174 | (10) |
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175 | (1) |
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4.8.2 Analysis of results |
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176 | (8) |
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184 | (13) |
5 Conclusion |
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197 | (12) |
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197 | (7) |
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5.2 Looking into the future of computational design |
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204 | (3) |
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5.2.1 Design technology: Implications and future developments |
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204 | (1) |
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5.2.2 Design cognition: Implications and future developments |
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205 | (1) |
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5.2.3 Design environment: Implications and future developments |
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206 | (1) |
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207 | (2) |
Appendix: Coding Example for Case Study 1 |
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209 | (29) |
Appendix of Images Sources |
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238 | (2) |
Index |
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240 | |