Social and Behavioral Sciences Commons^™

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 …

An Investigation Of Business Transformation Disruptors At The Military Strategic Command Level, Thomas Bock

Engineering Management & Systems Engineering Theses & Dissertations

This dissertation contributes an empirical research on business transformation disruption in the military. Specifically, this exploratory research seeks a better understanding of disruption of business transformation and some of the factors that are likely to impact the transformation process at the military strategic command level. A lack of empirical studies existing in the literature, coupled with the continuous transformation challenges faced by military organizations, make it necessary to conduct this empirical study of business transformation disruption in the military.

This research was carried out utilizing a two-phase mixed-methods approach. The first phase included qualitative data gathering through a series of …

Human System Engineering Applications From Distracted Driving Simulations, Holly A.H. Handley, Cansu Kandemir, S. Long (Ed.), E.-H. Ng (Ed.), C. Downing (Ed.)

Engineering Management & Systems Engineering Faculty Publications

Most of the studies to explore the impact of distracted driving have been descriptive in nature; i.e. the research is conducted in naturalistic settings to evaluate the performance of the driver with and without distracters. However simulation models can also be used that predict the workload for driving tasks. Using concepts from process modeling, baseline models of driving tasks can be created for different driving sequences that include the associated fine motor, visual and cognitive human resources. These models can then be used to evaluate incidents of workload overload caused by different distracters, from both the internal and external vehicle …