CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

id caadria2012_043
authors Lan, Wei-Hsien and Teng-Wen Chang
year 2012
title Visualising the design process with dynamic graph
source Proceedings of the 17th International Conference on Computer Aided Architectural Design Research in Asia / Chennai 25-28 April 2012, pp. 111120
summary Design Process is a continuous decision-making movement. Yet, the designer usually executes the process in a jumping way, from state to the other. Nevertheless, this kind of jumping process would cause loss of some essential information, such as a glance of design, or certain process of shape evolvement which designers want to know. Those unrecorded and therefore missing statistics information are very important to the research of design thinking and process. This study employs an animation and comic as research objects. In addition to utilising the methods of thinking aloud and protocol analysis, as well as recording the progress of this experiment, the information is digitalised. By using computer to develop a webpage-interface visualisation cloud system, called Dynamic Graph System which records and collects the evolving data generated from the space design process and stores this information into the cloud database. The system, then, uses the State space as a base, and utilises the derivative Dynamic Graph of spatial style which is evolved from the collected data of the Design Process. By studying and analysing the dynamic graphs, to investigate whether we can acquire more information of design process by using information visualisation approach to record of the evolution of the design process and helped the designers or not. This study intends to explore whether Dynamic Graph System helps and assists the designer to be more efficient in completing his/her work from the interaction between Dynamic Graph System and the designer.
keywords Design process; information visualisation; state space search; dynamic graph
series CAADRIA
email lanblue1011@gmail.com
full text file.pdf (707,589 bytes)
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