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EEG VARIATIONS AS A PROXY OF THE QUALITY OF THE DESIGN OUTCOME

Published online by Cambridge University Press:  19 June 2023

Shumin Li ,
Niccolò Becattini  and
Gaetano Cascini
Shumin Li*
Affiliation:
Politecnico di Milano
Niccolò Becattini
Affiliation:
Politecnico di Milano
Gaetano Cascini
Affiliation:
Politecnico di Milano
*
Li, Shumin, Politecnico di Milano, Italy, shumin.li@polimi.it

Abstract

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This paper presents an EEG (Electroencephalography) study that explores the correlation between the EEG variation across design stages and the quality of the design outcomes. The brain activations of 33 volunteers with engineering backgrounds were recorded while performing a design task using a morphological table to develop an amphibious bike. The EEG variations from the analysing/selecting stage to the illustrating stage were analysed based on the EEG frequency band and channel sets. A significant correlation between the detail level of the design outcome and the power variation mode was observed in theta, alpha and gamma bands, each involving different channel sets. Compared to the assessment results from two evaluators, using EEG variations as a proxy of the detail level of the design outcome could reach a maximum accuracy of 0.727, precision of 0.765, and recall of 0.889. These results also provide suggestions on the selection of the frequency bands and channel sets to achieve better prediction performance according to each metric.

Keywords

ElectroencephalographyHuman behaviour in designDesign cognitionDesign QualityResearch methodologies and methods
Type
Article
Information
Proceedings of the Design Society , Volume 3: ICED23 , July 2023 , pp. 1535 - 1544
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2023. Published by Cambridge University Press

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