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Analyzing Human Machine Interaction and Interfaces through Model Based System Engineering Practices
Author(s) -
Orellana Douglas,
Madni Azad
Publication year - 2012
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.2012.tb01436.x
Subject(s) - human–machine system , computer science , interface (matter) , key (lock) , systems engineering , systems design , human–machine interface , complex system , mental model , software engineering , work (physics) , human systems engineering , human–computer interaction , engineering , artificial intelligence , computer security , operating system , mechanical engineering , cognitive science , psychology , bubble , maximum bubble pressure method
As systems continue to grow in scale and complexity, human machine interactions and the human machine interface (HMI) become a crucial consideration in overall system design. In complex systems, humans are often part of the complex system as opposed to being just users of the system. The human mental model, work instructions, and procedures are key attributes that a system architect needs to analyze to ensure the success of the overall human‐machine system. Model Based System Engineering (MBSE) techniques potentially offer new ways for system architects and engineers to conceptualize and analyze HMI requirements and use the findings to specify its design.