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Fall 2019 – Identifying High Workload Levels through Physiological Measures in Virtual Reality Environments

Affiliations:
Human Factors and Cognitive Systems Lab
Project Leader: Carolina Rodriguez Paras
caro_rdz@tamu.edu
Industrial & Systems Engineering
Faculty Mentor:
Dr. Thomas Ferris, Ph.D.
Meeting Times:
Flexible
Team Size:
5 (Team Full)
Open Spots: 0
Special Opportunities:
Students will get the opportunity to collect and analyze philological measures. Additionally, several virtual reality applications for the Oculus Rift will be explored.
Team Needs:
Creative problem solving is required. Programming skills (Python, R, Matlab, others) are sought after but not mandatory.
Description:
Virtual reality environments can impose varying levels of workload. Physiological measures, such as heart rate and skin conductance, reflect the changes in workload. This project will investigate physiological patterns of workload based on varying virtual reality applications.

Written by:
Jennie Lamb
Published on:
February 12, 2020

Categories: FullTags: Fall 2019

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