Documents in the NTIS Technical Reports collection are the results of federally funded research. They are directly submitted to or collected by NTIS from Federal agencies for permanent accessibility to industry, academia and the public.  Before purchasing from NTIS, you may want to check for free access from (1) the issuing organization's website; (2) the U.S. Government Printing Office's Federal Digital System website http://www.gpo.gov/fdsys; (3) the federal government Internet portal USA.gov; or (4) a web search conducted using a commercial search engine such as http://www.google.com.
Accession Number ADA589802
Title Assessing Motion Induced Interruptions Using a Motion Platform.
Publication Date Sep 2013
Media Count 93p
Personal Author G. E. Gehl
Abstract Human performance contributes to total system performance. As human performance decreases, total system performance decreases while lifecycle costs increase. In a fiscally constrained environment, Human Systems Integration (HSI) seeks to assure human performance to reduce operating costs. This thesis seeks to develop a model for ship design in relation to Motion Induced Interruptions (MII). The model is based on the premise that MIIs affect specific domains of HSI in an adverse way. Future ship design considerations that mitigate MII occurrences can save the Navy money spent on human injury and system degradation. The thesis begins with an historical overview of MII theory and development and its interactions with domains of HSI. A MII prediction model was developed using data acquired from an experiment using a motion-based platform that emulates ship motion. Quantitative data were analyzed from 21 subjects who underwent 32 trials. Multiple regression analysis consisted of two independent variables as period and lateral acceleration and the response variable as a MII incident. Logistic regression considered two more independent variables that addressed individual differences. Data analysis revealed that acceleration, period, and human balance were statistically significant. The proposed multiple regression model accounted for 77% of the variance of MII forecasting. This thesis lays the foundation for future quantitative analysis of interactions between MIIs and accelerations or periods in different axes. Additionally, it provides an initial model that predicts conditions of high MII incident environments that can ultimately lead to a viable design tool for HSI practitioners and ship designers.
Keywords Acceleration
Adverse conditions
Data processing
Degradation
Environments
Forecasting
Humans
Integrated systems
Life cycle costs
Logistics
Mathematical models
Models
Motion induced interruptions(MII)
Naval architecture
Performance(Engineering)
Performance(Human)
Quantitative analysis
Regression analysis
Response
Ship motion
Ships
Theory
Variables
Wounds and injuries


 
Source Agency Non Paid ADAS
NTIS Subject Category 95D - Human Factors Engineering
57W - Stress Physiology
57 - Medicine & Biology
Corporate Author Naval Postgraduate School, Monterey, CA.
Document Type Thesis
Title Note Master's thesis.
NTIS Issue Number 1409
Contract Number N/A

Science and Technology Highlights

See a sampling of the latest scientific, technical and engineering information from NTIS in the NTIS Technical Reports Newsletter

Acrobat Reader Mobile    Acrobat Reader