Developing Human Performance Models Using Apex / CPM-GOMS for Agent-Based Modeling and Simulation

摘要

This paper reports on the development of agent models with human-like performance characteristics for use in agent-based modeling and simulation. The goal of our effort is to develop a computational human agent model that can be incorporated into an agent-based simulation to evaluate the impact of new technologies, such as datalink technology, on the workload and situation awareness of air traffic controllers. To provide models of advanced airspace, domain and task knowledge must be integrated with human performance characteristics to achieve a specification of controller functionality. Our approach combines a task analysis, which provides a functional description of the domain, with a human performance architecture, from which detailed performance predictions can be made. This paper presents how a standard task analysis can be paired with a human performance model to generate behavior that approximates that of the human operator. This paper will also outline the issues of integrating human performance models into a large-scale distributed agent-based simulation.