Prediction of Motion Sickness Incidence: A Statistical Examination of Three Approaches.

Abstract

This report summarizes three approaches which have been suggested for predicting motion sickness incidence (MSI) for actual or simulated broadband ship motion. Two of these approaches are based on the results of MSI models developed for pure sinusoidal motion. The third approach, which uses weights derived by least squares, cannot be based directly on these models. Instead, it would be developed empirically from observed MSI in experiments involving broadband motion. Although only a small amount of empirical MSI data exists for motion other than that produced by a single sinusoid, this data provides strong statistical evidence that the two approaches based on the single sinusoid models fail to produce accurate predictions. Statistical judgments about the least squares weighting approach must be reserved until enough empirical data exists to provide an adequate test. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1977
Accession Number
ADA044060

Entities

People

  • Dennis E. Smith

Tags

Communities of Interest

  • Biomedical
  • Space

DTIC Thesaurus Topics

  • Broadband
  • Data Science
  • Equations
  • Frequency
  • Mathematical Models
  • Models
  • Motion Sickness
  • Operations Research
  • Physics Laboratories
  • Predictive Modeling
  • Probability
  • Random Variables
  • Ship Motion
  • Sine Waves
  • Statistical Analysis
  • Statistical Tests
  • Waves

Readers

  • Approximation Theory.
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Neural Network Machine Learning.