Safety Risk Assessment of Human-computer Interaction Behavior Based on Bayesian Network

Background: Safety risk assessment of human-computer interaction behavior is very important for safety design and management in complex human-computer system such as airplane cockpit and monitoring system in nuclear power plant. Many major accidents were a result of lack of efficient hazard identification and risk assessment approaches, as described in various patents. Methods: The process of human-computer interaction risk assessment is established. The event tree analysis is employed to identify the hazard to the system and human beings. The dynamic safety risk assessment model is provided based on Bayesian network (BN) considering the uncertainty and correlation of the human-computer interaction behaviors. The safety risk level could be determined by matching the risk matrix with the assessment results on severity and probability. Results: An illustration, which takes a typical human-computer system as the study object, shows that the approach proposed in this paper is suitable and efficient for safety risk assessment of humancomputer interaction behaviors. Conclusion: With the development of technologies, the safety risk of the systems with human in the loop has received increasing attention. Safety risk assessment of human-computer interaction behavior is a very important part for safety design and management in complex human-computer system such as cockpit of vehicles and monitoring systems in nuclear power plant so that the user experience would be enhanced and safety risk would be controllable.