Abstract

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.

Notes

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Graduation Date

2020

Semester

Fall

Advisor

Rabelo, Luis

Degree

Doctor of Philosophy (Ph.D.)

College

College of Engineering and Computer Science

Department

Industrial Engineering and Management Systems

Degree Program

Industrial Engineering

Format

application/pdf

Identifier

CFE0008293; DP0023730

URL

https://purls.library.ucf.edu/go/DP0023730

Language

English

Release Date

December 2021

Length of Campus-only Access

1 year

Access Status

Doctoral Dissertation (Open Access)

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