id |
caadria2019_241 |
authors |
Cristie, Verina and Joyce, Sam Condrad |
year |
2019 |
title |
Capturing Parametric Design Exploration Process - Emperical insights from user activity and design states data |
doi |
https://doi.org/10.52842/conf.caadria.2019.2.491
|
source |
M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 491-500 |
summary |
Computational design, especially parametric associative modelling tools, have opened a whole new world of possibility in design exploration. However, their now established use poses further questions regarding how they effect design process and ultimately the quality of the outcomes. Answering those questions requires a better understanding of parametric design process through empirical data. In this paper, we extend a method to systematically capture the design process into a structured data of designer's activity and design states. Analysis of design sessions reveal a unique pattern of parametric modelling and exploration strategies produced by each designer. Capability to save design process into structured design states shows potential to improve process. |
keywords |
Design exploration; Parametric Design; History Recording; Version control; Conceptual Design |
series |
CAADRIA |
email |
|
full text |
file.pdf (3,368,928 bytes) |
references |
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last changed |
2022/06/07 07:56 |
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