Paper Info
Title
A Methodology For Human-Machine Systems Research - Knowledge Engineering, Modeling, And Simulation
Abstract
This paper proposes a methodology for carrying out human-machine systems engineering research and in particular focuses on the development of knowledge-based support for training and aiding, The process is characterized by the definition of knowledge requirements, a normative model structure of human-machine interaction, a knowledge architecture that implements the model, and an interactive real-time simulation environment, The knowledge requirements largely specify the model, knowledge architecture, and simulation, The model and the knowledge architecture are the basis for the design of intelligent systems. The simulation serves as an experimental testbed that provides a feasible, safe, and effective means for exploring alternative human-machine systems designs and also facilitates technology transfer. The aim is to create an understanding of a complex work domain that forms the context for ongoing research in human-machine interaction. A specific example from satellite ground control is described. This paper also serves as the foundation for companion papers on intelligent tutoring and aiding systems.
Year
DOI
Venue
1995
10.1109/21.391285
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS
Keywords
Field
DocType
automatic control,knowledge based systems,simulation,satellites,knowledge base,modeling and simulation,knowledge engineering,intelligent systems,modeling,system engineering,system design
Intelligent decision support system,Domain knowledge,Systems engineering,Modeling and simulation,Computer science,Systems design,Normative model of decision-making,Knowledge-based systems,Artificial intelligence,Knowledge engineering,Machine learning,Open Knowledge Base Connectivity
Journal
Volume
Issue
ISSN
25
7
0018-9472
Citations 
PageRank 
References 
9
1.13
11
Authors
3
Name
Order
Citations
PageRank
P. M. Jones1607.64
R. W. Chu2313.77
C. M. Mitchell314125.01