Identification of Motion Sick Individuals: A classification method accounting for non-specificity
Loading...
Authors
Matsangas, Panagiotis
McCauley, Michael E.
Subjects
Advisors
Date of Issue
2014
Date
Publisher
Monterey, California. Naval Postgraduate School
Language
Abstract
The identification of “motion sick ” individuals is a challenge because of “misreported ” motion sickness,
i.e. symptoms developed from reasons unrelated to the nauseogenic stimulus. A behavioral method is
proposed to address the confounding effect of the non-specificity associated with motion sickness and
sopite syndrome symptoms. The proposed method is based on a within-subject approach with three
classification groups; symptoms occurring in static conditions are used as normative to classify whether an
individual is motion sick in motion conditions. Participants without any symptoms in both static and
motion conditions are classified as “Asymptomatic. ” If symptom severity in motion conditions is greater
than the static, the participant is identified as motion sick (Symptomatic). If symptom severity in motion is
less than or equal to the static condition, it is considered that the individual is reporting symptoms not
attributable to motion sickness and is excluded from analysis. As part of a broader study, the proposed
method was applied in a laboratory experiment and the corresponding results are compared against two
alternative methods. The utility and problems of the proposed method are discussed.
Type
Presentation
Article
Article
Description
HFES 2014
Proceedings of the Human Factors and Ergonomics Society 58th Annual Meeting - 2014
Proceedings of the Human Factors and Ergonomics Society 58th Annual Meeting - 2014
Series/Report No
Department
Operations Research
Organization
Identifiers
NPS Report Number
Sponsors
Funding
Format
Citation
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.