An Agent-Based Model for Situational Awareness at Workplace

Abstract

Self-awareness emotional intelligence symptoms will be unavoidable in the job. These symptoms are generally regarded as acceptable by certain standards, as they are an important part of keeping people informed (or commonly known as situational awareness). However, the most recent research focuses on external components of situational awareness aspects and lacks adaptable methods to deal with the individual's situational awareness dynamics. This study investigated the use of an agent-based modeling strategy for situational awareness in the workplace. It focuses on environmental and personal factors that influence the level of situational awareness at work in a dynamic way. The outcomes included a range of scenarios that corresponded to various personality traits and environmental conditions. Finally, equilibria analysis and automated logical verification were employed to evaluate this computational model in order to check whether there were any conceptual defects, as indicated in the literature. The suggested computational agent-based model has shown rational behavior patterns that are consistent with existing psychology literature on situational awareness in the workplace.