Paper Info
Title
Human System Integration Ontology: Enhancing Model Based Systems Engineering to Evaluate Human-system Performance.
Abstract
As we move forward to integrate system descriptive models and system analytical models, there is a key opportunity to integrate other viewpoints into the system model. Specifically, we have the opportunity to extend current modeling semantics and add other disciplines. Current systems engineering practices address human-system integration concerns as an afterthought (i.e., after system architectures have already been created). One primary reason for this deficiency is that people not trained in human factors engineering are unable to communicate with those that are, due to differences in terminology. To better integrate humans into and with systems, new semantics are needed to extend current system modeling representations. The integration of new semantics will allow human elements to be analyzed in a more holistic perspective. This paper looks into identifying core building blocks for creating the ontology for human system interaction, interfaces, and integration. This ontology, once fully developed, will extend current system modeling capabilities that will enable the human element to be analyzed as part of the overall system development process.
Year
DOI
Venue
2014
10.1016/j.procs.2014.03.003
Procedia Computer Science
Keywords
Field
DocType
Human System Integration,Human Factors,Model Based System Engineering,SysML,UML,Modeling and Simulation,System Modeling,Ontology
Ontology,Data mining,Ontology-based data integration,Computer science,Model-based systems engineering,Systems modeling,Human factors integration,System model,Semantics,System integration
Conference
Volume
ISSN
Citations 
28
1877-0509
7
PageRank 
References 
Authors
1.19
4
2
Name
Order
Citations
PageRank
Douglas W. Orellana171.53
Azad M. Madni218834.57