Tan, Suo (2017) Roles of Perception in Engineering Design – A Theoretical Foundation to Improve Designer’s Performance. PhD thesis, Concordia University.
Preview |
Text (application/pdf)
8MBTan_PhD_S2017.pdf - Accepted Version Available under License Spectrum Terms of Access. |
Abstract
Engineering design is a complex decision-making process which frames the transition from an engineering problem to a final product, to meet a set of requirements. During this process, perception is inevitably involved. Perception, a term originated from psychology, referring to a process where a person arrives at an interpretation of his/her sensory experience about the surroundings, has been involved in a broad scope in engineering design, e.g., understanding a design problem, comprehending customers requirements, conceptualizing design thoughts, organizing and managing resources, and evaluating alternative solutions. To study the engineering process from the perception’s perspective, a theoretical model has been proposed. In this model, workload, skill, knowledge, and affect are chosen as major factors. Based on the model and the Environment-Based Design methodology, methods are proposed to quantify designer’s perception and performance at conceptual design stage. Experimental studies have been conducted to validate the proposed model. As a result, the model serves well as a phase-based quantification tool for designer’s perception and performance. In addition, a significant positive correlation has been found between one’s perception and performance. Furthermore, the model implies a foundation to improve one’s performance for engineering design.
Divisions: | Concordia University > Gina Cody School of Engineering and Computer Science > Concordia Institute for Information Systems Engineering Concordia University > Gina Cody School of Engineering and Computer Science > Mechanical and Industrial Engineering |
---|---|
Item Type: | Thesis (PhD) |
Authors: | Tan, Suo |
Institution: | Concordia University |
Degree Name: | Ph. D. |
Program: | Industrial Engineering |
Date: | 5 April 2017 |
Thesis Supervisor(s): | Zeng, Yong |
ID Code: | 982322 |
Deposited By: | SUO TAN |
Deposited On: | 01 Jun 2017 12:29 |
Last Modified: | 18 Jan 2018 17:54 |
Repository Staff Only: item control page