Accession Number:

ADA063515

Title:

Modeling and Analysis of Man-Machine Interface Information.

Descriptive Note:

Final technical rept.,

Corporate Author:

ARMY COMMUNICATIONS RESEARCH AND DEVELOPMENT COMMAND FORT MONMOUTH NJ

Personal Author(s):

Report Date:

1978-07-01

Pagination or Media Count:

91.0

Abstract:

Considering the premise that communications systems are composed of electronic equipment, environmental effects, and the human element, one becomes aware of the difficulty in assuming knowledge of every aspect of a system. In modeling or analyzing a system, one should characterize each facet of the system separately by defining the most influential factors as stochastic variables and then proceed to estimate parameters and structure statistical models of operational efficiency. One example of a non-stationary physical process that influences communications systems is derived from the response of a systems operator to various levels of environmental stress. Due to the random nature of this phenomenon, two logical approaches to forecasting and interpreting experimental results with respect to operator performance seems to lie within the realms of non-linear modeling. and non-stationary time-series modeling The main objectives of this report are as follows 1 The design of a statistical experiment is presented for man-machine interface studies aimed at the standard teletypewriter terminal and the optical display terminal. The structuring of this experiment includes time dependent and time independent formulations. 2 Various classical and non-parametric statistical analyses are presented which provide insight as to what degree the environmental variables of ambient light and acoustic noise affect operator response. 3 Two statistical models have been proposed for the analysis and interpretation of man-machine interface data. A time-independent structuring is presented for predicting errors as a function of environmental variables, and an optimal scheme is given for the determination of the errors.

Subject Categories:

  • Operations Research
  • Human Factors Engineering and Man Machine Systems
  • Non-Radio Communications

Distribution Statement:

APPROVED FOR PUBLIC RELEASE