Cumincad : CUMINCAD Papers : Paper cdrf2019_68:Growing Shapes with a Generalised Model from Neural Correlates of Visual Discrimination

id	cdrf2019_68
authors	Pierre Cutellic
year	2020
title	Growing Shapes with a Generalised Model from Neural Correlates of Visual Discrimination
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_7
summary	This paper focuses on the application of visual Event-Related Potentials (ERP) in better generalisations for design and architectural modelling. It makes use of previously built techniques and trained models on EEG signals of a singular individual and observes the robustness of advanced classification models to initiate the development of presentation and classification techniques for enriched visual environments by developing an iterative and generative design process of growing shapes. The pursued interest is to observe if visual ERP as correlates of visual discrimination can hold in structurally similar, but semantically different, experiments and support the discrimination of meaningful design solutions. Following bayesian terms, we will coin this endeavour a Design Belief and elaborate a method to explore and exploit such features decoded from human visual cognition.
series	cdrf
email	cutellic@arch.ethz.ch
full text	file.pdf (3,281,215 bytes)
references	Content-type: text/plain
last changed	2022/09/29 07:51