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Date of Award

Summer 2008

Document Type

Thesis - Open Access

Degree Name

Master of Science in Human Factors & Systems

Department

Human Factors and Systems

Committee Chair

Dahai Liu, Ph.D.

Committee Member

Albert Boquet, Ph.D.

Committee Member

Seenith Siva, Ph.D.

Abstract

Human flight performance data were investigated using non-linear time series analysis methods to determine deterministic chaotic behavior in the data. Using a sequence of steps of non-linear methods, four flight performance data were used to investigate for the existence of deterministic chaotic behavior. Results revealed that flight performance data may exhibit chaotic behavior. Results also showed a consistent low determinism value in all the data examined which is the defining characteristic of chaotic behavior. It was also found that the data originated from non-stationary process. The Maximal Lyapunov Exponent (MLE) value which indicate chaotic behavior exist in the data revealed that most of the data examined possessed some traces of deterministic chaotic behavior evident by the low Maximal Lyapunov Exponent value.

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