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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

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_id	ddss2006-hb-419
id	DDSS2006-HB-419
authors	Hung-Ming Cheng
year	2006
title	Generative Design in an Evolutionary Procedure - An approach of genetic programming
source	Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) 2006, Innovations in Design & Decision Support Systems in Architecture and Urban Planning, Dordrecht: Springer, ISBN-10: 1-4020-5059-3, ISBN-13: 978-1-4020-5059-6, p. 419-431
summary	This study describes a procedural design studio using Genetic Programming as the evolutionary mechanism and formal generation. This procedural design is integrated with a visualisation interface, which allows designers to interact and select from instances for design evolution. Evolutionary design facilitates designers in three areas: 1) diversify instances of design options; 2) inspect specific goals; 3) and enhance the possibility of discovering various potential solutions.
keywords	Artificial intelligent, Genetic algorithm, Generative design tools, Procedural design studio, Design exploration
series	DDSS
last changed	2006/08/29 12:55

_id	caadria2024_59
id	caadria2024_59
authors	Lai, Ih-Cheng
year	2024
title	EMO-Space: A Computational Model for Interaction between Emotions and Space
doi	https://doi.org/10.52842/conf.caadria.2024.3.401
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 3, pp. 401–410
summary	Architectural space can trigger emotion (Zumthor, 2006). Psychologists Mehrabian and Russell (1974) proposed PAD model, presenting eight emotions as a means for psychologists to self-assess the emotional conditions of human experience and to provide people with a way to conceptualize the impact of cognitive structure. The Brain-Computer Interface (BCI) combines with computer operations to decode and calculate different brain waves generated by human emotions, supporting the convenience and wisdom of human life. The integration of the PDA model and BCI technology will offer an understanding of the interactive relationships between space and emotion. The purpose of this research is to construct a computational model called EMO-Space, which can autonomously support space interaction through the understanding of human emotions. Based on the PAD model, the integration of BCI, the mechanism of emotional transformation, and the control of message transmission are explored. Subsequently, the computational model is proposed and simulated. EMO-Space will provide the basis for the intelligence of emotional space in the future, such as in elderly care and spatial healing.
keywords	emotional space, emotion, interaction, BCI, computational model
series	CAADRIA
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last changed	2024/11/17 22:05

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