Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings of 37 eCAADe and XXIII SIGraDi Joint Conference |
| Untertitel | Architecture in the Age of the 4th Industrial Revolution |
| Herausgeber/-innen | José Pedro Sousa, Gonçalo Castro Henriques, João Pedro Xavier |
| Erscheinungsort | Porto |
| Seiten | 17-24 |
| Seitenumfang | 8 |
| Publikationsstatus | Veröffentlicht - 1 Dez. 2019 |
| Veranstaltung | 37th Conference on Education and Research in Computer Aided Architectural Design in Europe and 23rd Conference of the Iberoamerican Society Digital Graphics, eCAADe SIGraDi 2019 - Porto, Portugal Dauer: 11 Sept. 2019 → 13 Sept. 2019 |
Publikationsreihe
| Name | Blucher Design Proceedings |
|---|---|
| ISSN (Print) | 2318-6968 |
Abstract
The paper describes a research experiment of incorporating quantitative aesthetic evaluation and feeding the metric back into a parametric model to steer the search within the design space for a high-ranking design solution. The experiment is part of a longer-standing interest and research in quantitative aesthetics. A web platform inspired by dating apps was developed to retrieve an aesthetic score of images (drawings and photographs of architectural projects). The app and scoring system was tested for functionality against an existing dataset of aesthetic measure (triangles, polygon nets). In the actual experiment, an evolutionary algorithm generated images of design candidates (phenotypes) and used the aesthetic score retrieved by the ``crowd'' of app users as a fitness function for the next generation/population. The research is in the tradition of empirical aesthetics of G. T. Fechner (Fechner, 1876), using a web app to crowdsource aesthetic scores and using these to evolve design candidates. The paper describes how the system is set up and presents its results in four distinct exercises.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Computergrafik und computergestütztes Design
- Sozialwissenschaften (insg.)
- Ausbildung bzw. Denomination
- Ingenieurwesen (insg.)
- Architektur
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- BibTex
- RIS
Proceedings of 37 eCAADe and XXIII SIGraDi Joint Conference: Architecture in the Age of the 4th Industrial Revolution. Hrsg. / José Pedro Sousa; Gonçalo Castro Henriques; João Pedro Xavier. Porto, 2019. S. 17-24 (Blucher Design Proceedings).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Aesthetic Quantification as Search Criteria in Architectural Design
AU - Sardenberg, Victor
AU - Burger, Theron
AU - Becker, Mirco
N1 - © 2019, Education and research in Computer Aided Architectural Design in Europe. All rights reserved.
PY - 2019/12/1
Y1 - 2019/12/1
N2 - The paper describes a research experiment of incorporating quantitative aesthetic evaluation and feeding the metric back into a parametric model to steer the search within the design space for a high-ranking design solution. The experiment is part of a longer-standing interest and research in quantitative aesthetics. A web platform inspired by dating apps was developed to retrieve an aesthetic score of images (drawings and photographs of architectural projects). The app and scoring system was tested for functionality against an existing dataset of aesthetic measure (triangles, polygon nets). In the actual experiment, an evolutionary algorithm generated images of design candidates (phenotypes) and used the aesthetic score retrieved by the ``crowd'' of app users as a fitness function for the next generation/population. The research is in the tradition of empirical aesthetics of G. T. Fechner (Fechner, 1876), using a web app to crowdsource aesthetic scores and using these to evolve design candidates. The paper describes how the system is set up and presents its results in four distinct exercises.
AB - The paper describes a research experiment of incorporating quantitative aesthetic evaluation and feeding the metric back into a parametric model to steer the search within the design space for a high-ranking design solution. The experiment is part of a longer-standing interest and research in quantitative aesthetics. A web platform inspired by dating apps was developed to retrieve an aesthetic score of images (drawings and photographs of architectural projects). The app and scoring system was tested for functionality against an existing dataset of aesthetic measure (triangles, polygon nets). In the actual experiment, an evolutionary algorithm generated images of design candidates (phenotypes) and used the aesthetic score retrieved by the ``crowd'' of app users as a fitness function for the next generation/population. The research is in the tradition of empirical aesthetics of G. T. Fechner (Fechner, 1876), using a web app to crowdsource aesthetic scores and using these to evolve design candidates. The paper describes how the system is set up and presents its results in four distinct exercises.
KW - Collaborative Design
KW - Crowdsourcing
KW - Human-Computer interaction
KW - Quantitative Aesthetics
KW - Social Media
UR - http://www.scopus.com/inward/record.url?scp=85128425075&partnerID=8YFLogxK
U2 - 10.5151/proceedings-ecaadesigradi2019_088
DO - 10.5151/proceedings-ecaadesigradi2019_088
M3 - Conference contribution
AN - SCOPUS:85128425075
SN - 9789491207174
T3 - Blucher Design Proceedings
SP - 17
EP - 24
BT - Proceedings of 37 eCAADe and XXIII SIGraDi Joint Conference
A2 - Sousa, José Pedro
A2 - Henriques, Gonçalo Castro
A2 - Xavier, João Pedro
CY - Porto
T2 - 37th Conference on Education and Research in Computer Aided Architectural Design in Europe and 23rd Conference of the Iberoamerican Society Digital Graphics, eCAADe SIGraDi 2019
Y2 - 11 September 2019 through 13 September 2019
ER -