Operations Research, Systems Engineering and Industrial Engineering Commons^™

Investigating Teenage Drivers' Driving Behavior Before And After Lag (Less Aggressive Goals) Training Program, Jingyi Zhang

Masters Theses

Motor vehicle crashes are a leading cause of death during adolescence, with the fatal crash rate per mile-driven for 16-19 years old drivers being nearly 3 times larger than the rate for drivers age 20 and older. High gravitational events among teenage drivers, such as quick starts, and hard stops, have been shown to be highly correlated with crash rates. The current younger driver training programs developed in the late 1990s, however, do not appear to be especially effective in regard to many skills which are critical to avoiding crashes. With this in mind, a simulator-based training program aimed at …

The Relationship Among Hfacs Levels And Analysis Of Human Factors In Unmanned And Manned Air Vehicles, Veysel Yesilbas

Engineering Management & Systems Engineering Theses & Dissertations

This dissertation analyzes the structural relationships among the Human Factors Accident Classification System levels for unmanned air vehicle and manned air vehicle accidents and the common relationships between unmanned air vehicle and manned air vehicle accident causes. The study acquired DOD HFACS accident classification data from 347 United States Air Force Class A accident reports for the years between 2000 and 2013.

The dissertation utilized a set of analysis that is considered to contribute substantially to the respective domain of the study. The correlations found among categorical levels were applied to HFACS taxonomy based on the Reason Model via path …

A Theoretical Adaptive Autonomy Model: Real-Time Physiological Assessment Of Cognitive Workload, Dakota C. Evans

Browse all Theses and Dissertations

Increases in modern-day system complexity, has led for a need to improve human performance and the interaction between the two. Three objectives: (1) to investigate physiological measures as indicators of cognitive workload, (2) to assess cognitive workload during human interaction with different autonomy levels, and (3) to develop a theoretical model for an adaptive autonomous system that changes with real-time cognitive workload measures were addressed. This effort seeks to improve human computer interaction by providing the human with the acceptable level of computer automation based on real-time cognitive state. Two experiments involved collection of measures of subject physiology, subjective survey …