Nguyen, Thanh An (2016) Understanding Conceptual Design Activities: Extended Axiomatic Theory of Design Modeling and Physiological Experimentation. PhD thesis, Concordia University.
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Abstract
Conceptual design is an early and critical phase of a design process. Decisions made in this stage can affect seventy five percent of the manufacturing costs. Therefore, one of the important factors to successful production is to have methods and tools that enable designers to work more effectively during the phase of conceptual design. To build such methods and tools, knowledge of design activities such as nature of the design process and factors affecting design activities is indispensable. The present thesis is a continuing effort to build a science of design which aims to discover knowledge of design activities through formal scientific process. The contribution of the current thesis includes the extended Axiomatic Theory of Design Modelling and methodologies to study design cognition physiologically. In particular, two postulates were added to the Axiomatic Theory of Design Modelling to support its explanatory power which was demonstrated through the interpretation of the impact of sketching on design performance and the occurrence of design fixation. An integrated experimental environment was developed to collect and analyze physiological signals during design processes. From this environment, several experiments recording physiological signals were conducted and findings of electroencephalography, heart rate variability, and skin conductance were reported.
Divisions: | Concordia University > Gina Cody School of Engineering and Computer Science > Electrical and Computer Engineering |
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Item Type: | Thesis (PhD) |
Authors: | Nguyen, Thanh An |
Institution: | Concordia University |
Degree Name: | Ph. D. |
Program: | Electrical and Computer Engineering |
Date: | 19 August 2016 |
Thesis Supervisor(s): | Zeng, Yong |
Keywords: | design theory, Axiomatic Theory of Design Modeling, mental stress, mental effort, workload, design cognition, EEG, physiological signals |
ID Code: | 981698 |
Deposited By: | THANH NGUYEN |
Deposited On: | 09 Nov 2016 15:24 |
Last Modified: | 18 Jan 2018 17:53 |
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