Engineering Analytics (EA) is a technique used to derive meaningful insight from gathered data. It is an approach that has arisen, and it includes the process of analyzing data using analytics tools from fields such as Big Data, Machine Learning (ML), traditional operations research, statistics, and numerical methods. Industrial Engineering is an engineering field concerned with how to design better, improve, and install integrated systems, uses EA to understand and continually improve, innovate, and build new processes. Therefore, EA and Virtual Reality (VR) technology can be used in combination with Electroencephalography (EEG), a physiological measurement, to investigate human areas. The objective of this study was to use EA, VR, and EEG to provide insights into the way we study brain attention, simulation sickness, and verbal-visual ability. In this research study, participants were examined in 3D virtual environments by collecting subjective responses as well as recording and analyzing participants' brainwaves. EA techniques were utilized to investigate and discover relationships.
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Doctor of Philosophy (Ph.D.)
College of Engineering and Computer Science
Industrial Engineering and Management Systems
Length of Campus-only Access
Doctoral Dissertation (Campus-only Access)
Alasim, Fahad, "Human Performance In Virtual Reality Environments and Its Exploration with Engineering Analytics" (2020). Electronic Theses and Dissertations, 2020-. 322.