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A Model-based Framework for Risk Assessment in Human-Computer Controlled SystemsThe rapid growth of computer technology and innovation has played a significant role in the rise of computer automation of human tasks in modem production systems across all industries. Although the rationale for automation has been to eliminate "human error" or to relieve humans from manual repetitive tasks, various computer-related hazards and accidents have emerged as a direct result of increased system complexity attributed to computer automation. The risk assessment techniques utilized for electromechanical systems are not suitable for today's software-intensive systems or complex human-computer controlled systems. This thesis will propose a new systemic model-based framework for analyzing risk in safety-critical systems where both computers and humans are controlling safety-critical functions. A new systems accident model will be developed based upon modem systems theory and human cognitive processes to better characterize system accidents, the role of human operators, and the influence of software in its direct control of significant system functions. Better risk assessments will then be achievable through the application of this new framework to complex human-computer controlled systems.
Document ID
20010005242
Acquisition Source
Ames Research Center
Document Type
Thesis/Dissertation
Authors
Hatanaka, Iwao (Massachusetts Inst. of Tech. United States)
Date Acquired
September 7, 2013
Publication Date
January 1, 2000
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Funding Number(s)
CONTRACT_GRANT: NCC2-1150
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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