| id |
caadria2024_530 |
| authors |
Erhan, Halil and Abuzuraiq, Ahmed M. |
| year |
2024 |
| title |
Making a Case for Design Analytics: Complementing Designers' Toolbox for Data-Informed Creative Decision-Making |
| doi |
https://doi.org/10.52842/conf.caadria.2024.1.515
|
| source |
Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 1, pp. 515–524 |
| summary |
"Design Analytics" is a methodological approach for engaging with design form and performance data to guide design space exploration. The goal is to integrate design decision-making with data analytics through interactive visualisations. This paper introduces the approach grounded in three distinct patterns of design exploration: parallel development, solution exploration, and collaboration. These patterns are demonstrated through system case studies developed using a design study method, highlighting diverse opportunities and challenges in using design data. In each case, functional prototypes of the systems are presented. We propose a research agenda for this system-agnostic approach, offering a perspective on restructuring design with new design systems to enhance design computing. |
| keywords |
data inform creativity, Visual analytics, Design Analytics, data-driven design, design collaboration, design space navigation. |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (2,549,917 bytes) |
| references |
Content-type: text/plain
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| last changed |
2024/11/17 22:05 |
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