Motion Sickness: A Study of its Etiology and a Statistical Analysis.

The affects of motion induced sickness on the human physiology is investigated. Physiologic data were collected from 12 test volunteers who were spun in a multiaxis rotating chair to elicit a motion sickness response. The data collected were statistically analyzed using linear regression techniques to develop a model that can be used to predict the onset of motion sickness. Evidence indicates that many of the classical physiologic parameters studied are strongly correlated to each other and as a result, must be studied together in order to effectively piece together the complex interrelationships of motion sickness. Major recommendations for future AFIT research include analyzing the data through the use of other multivariant techniques, including nonlinear regression, as well as testing the model developed during this research against actual experimental data. Another recommendation includes integrating a computer, either a mainframe or a personal computer, along with an analog to digital conversion board and associated software and data acquisition and data analysis software to the current system to enhance collection and analysis capabilities. Theses.