Abstract of Meeting Paper

Society for Risk Analysis 2000 Annual Meeting

A Methodology for Risk Management in Safety Critical Real Time Control Systems. R. D. Grygoryan and K. L. Atoyev, Cybernetics Center of National Academy of Sciences Ukraine

A human-operator (HO) is one of the main part for most of modern safety-critical real time control systems. Different extreme events cause stresses of HO and increase risk of emergencies. To minimize this risk a special methodology created. It based on a special self-adaptive computer (SAC). The SAC integrates HO and computer into one dynamic control system including additional direct and feed-back channels for testing and control both of environmental characteristics and attention concentration of HO. The SAC estimates operational reliability of HO and controls it as by means of special self-adaptive interface (SAI) and using of acceptable environmental opportunities. Instead of traditional scheme of human-computer interaction (HCI), our approach provides a new interaction scheme, where both the SAC and the HO are active partners. To provide all requiring functions, the SAC includes several new functional modules: a) a module of psycho-physiological testing that defines relatively stable genetic characteristics and attention concentration of user; b) a module of operational environment model; c) a module block of knowledge about HO that presented as a mathematical model describing dynamics of user attention; d) a module for prognosis of user attention dynamics; e) a module for risk assessment of user mistakes until next operational testing time-point; f) a module of risk management for mistakes level minimization; g) a generator of SAI and program for environmental limit optimization. The HCI starts after psycho-physiological characteristics defined. The methodology consists of different algorithms depending on psycho-physiological typology of HO. Its actual attention testing realized using different indicators of user operational workload.


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