| id |
cf2019_046 |
| authors |
Garg, Akanksha ;and Halil Erhan |
| year |
2019 |
| title |
Use of Data in Design Exploration: Design Analyzer |
| source |
Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 399-411 |
| summary |
This paper presents a system prototype that demonstrates and tests how visual analytics of parametric design data can become an integral workflow in design exploration. Parametric design process, as a complex creative exercise, can lead to generation of a large number of alternative solutions rapidly. The designers are then tasked with effectively finding the potential solutions among a torrent of design data. This task poses challenges like choice overload, which considerably affects the designer’s performance and design output. We hypothesize that the application of visual analytics to parametric design data can help alleviate the choice overload problem. In this paper, we use the term “Design Analytics” which primarily revolves around the application of visual analytics to parametric design data and we test this approach with the help of a low-fidelity prototype called “DANZ: Design Analyzer:”. |
| keywords |
Parametric Data, Visual Analytics, Creativity Support Tool, Design Analytics, Data Visualization |
| series |
CAAD Futures |
| email |
|
| full text |
 file.pdf (1,783,040 bytes) |
| references |
Content-type: text/plain
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| last changed |
2019/07/29 14:15 |
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