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Modeling Stress Levels in Complex Scenarios through Random Behavioral Patterns

Year: 2023


Presenter Name: Jacob Atkinson

Additional Presenters:
Victoria Smith (Victoria.smith@utahtech.edu)
Description
The way in which humans experience stress differs across different situations and schedules. When given a group of people working together to solve a problem, accumulated stress can affect their overall productivity in completing their work. We seek to understand how to use differential equations and various models to show how stress affects the overall productivity of two groups of astronauts. We use a modified Reservoir model, as well as a Job Demand - Resources model to quantify the impact accumulated stress has over time. Our simulation results will help display the importance of measuring stress levels using different complex scenarios.
University / Institution: Utah Tech University
Type: Oral
Format: In Person
SESSION B (10:45AM-12:15PM)
Area of Research: Social Sciences
Faculty Mentor: Vindoh Chellamuthu
Location: Alumni House, SORENSON ROOM (11:05)