Proefschrift--Utrecht. / Summary in Dutch. Includes bibliographical references.

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Approved for public release, distribution unlimited. / This thesis proposes a linear model based on human physiology for the explanation of the Motion Sickness Incidence (MSI) data found in previously reported experiments. The major human sensory systems taken into account are vestibular, visual, and the interaction between these two. The model is validated against the previous descriptive model and the corresponding experimental data. The proposed model predicts MSI with adequate precision (less than Å 5%) in the frequency range between 0.07 Hz and 0.25 Hz. The difference between the proposed model and the previous descriptive model is increased at the outer frequency regions of the data.

The Navy's use of high speed vessels such as HSV-2 SWIFT has raised questions of the effects of high speed motion on the ability of personnel to perform assigned duties. Performance degradation may occur during periods of excessive ship motion because of extreme motion sickness or periods of frequent task interruptions. With the use of high speed vessels expected to increase in the near future with the Littoral Combat Ship program, the issue of high speed motion effects on personnel becomes operationally relevant. This study will take a two part approach to analyze the effects of high speed motion: the motion sickness of SWIFT's crew and military passengers, and interruptions of task performance caused by vessel motion to critical watch stations. For the first part, statistical analysis will be used to determine relationships between ship motion and motion sickness. For the second part, modeling and simulation will be used to determine if there are watch stations that may be affected by varying levels of motion induced task interruptions. From this analysis, guidelines may be produced to describe the expected levels of motion sickness in personnel as well as watch stations in which personnel may have difficulties performing assigned duties.

Human Systems Integration Report / This study examined the effects of ship motion on motion sickness, adaptation, susceptibility, and performance. Data were collected onboard HSV-2 SWIFT during four periods from May 2004 to April 2005. HSV-2 SWIFT was chosen to examine performance on a high speed vessel with a catamaran hull type and a small crew. Data were collected using handheld personal digital assistants (PDAs) with a performance task along with questionnaires. There is a possibility that crewmember cognitive performance, as measured by Lapses on the Psychomotor Vigilance Task, may be related to reported Motion Sickness. Observations showed that adaptation to the ship motion occurred between day 2 and 3. Data collection periods found a relationship between the Motion History Questionnaire and motion sickness incidence. Lack of rough seas during the three of the data collection periods made it difficult to determine if there were more significant relationships during the analysis. Recommendations were to conduct future data collection during rough seas that have more variation in sea state and efforts should address how motion sickness affects crew performance and if crew performance is degraded to a level that will affect the shipâ s missions, specifically the LCSâ s missions of Surface Submarine Warfare, Mine Warfare, and high speed operations.

Thesis (M.S. in Operations Research)--Naval Postgraduate School, March 2009. / Thesis Advisor(s): McCauley, Michael E. "March 2009." Description based on title screen as viewed on April 23, 2009. Author(s) subject terms: Sopite syndrome, motion sickness, wrist actigraphy Includes bibliographical references (p. 77-82). Also available in print.

Thesis (M.A.)--York University, 2006. Graduate Programme in Psychology. / Typescript. Includes bibliographical references (leaves 50-52). Also available on the Internet. MODE OF ACCESS via web browser by entering the following URL: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:MR29608

Thesis (M.S. in Operations Research and M.S. in Modeling, Virtual Environments and Simulation)--Naval Postgraduate School, Sept. 2004. / Thesis Advisor(s): Michael McCauley, Nita Miller. Includes bibliographical references (p. 149-162). Also available online.

Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2002. / Includes bibliographical references (leaves 82-89). Also available in electronic version. Access restricted to campus users.

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