Modern cyber operations require operators to maintain supervisory control of remote computer agents. A current operational concern is the number of agents an operator can control at once. This type of task resonates with similar Human Supervisory Control (HSC) research that has been conducted in environments such as Unmanned Aerial Vehicle operations. Within the relevant literature, there has been limited discussion of cyber-HSC, and no available experimental research. In this paper, we present an initial exploration cyber-HSC. Using the BOARD 1.5 Simulation, we manipulated the number of autonomous assets accessible to a human operator. We expected that as the number of autonomous agents available increased, we would observe concomitant changes in human performance and cognition. However, our results indicated that participants' overall span-of-control did not vary with additional agents. Our findings highlight the need for continued research on issues of supervisory control within cyber operations.
INTRODUCTIONComputer networks that manage critical private (e.g., banking) and government (e.g., nuclear power plant) assets have become ubiquitous entities. With this increased reliance, cyber security has become a primary concern for homeland security. Generally, cyber security research has focused on computer science and engineering problems, such as the development of algorithms to detect, identify, and mitigate specific threats that exist on computer networks. While this research is critical to national defense, it does not acknowledge the role that human operators play in cyber security. The Human Factors community has recognized this research gap and has responded by establishing an initiative to explore human-centered aspects of cyber operations. Current research has focused on identifying important dimensions of cognition within cyber operations, such as situation awareness (Giacobe, 2012), team knowledge structures (Mancuso & McNeese, 2012), and team collaboration (Rajivan et al., 2013). However, little research has focused explicitly on specific issues related to task load and operations management -classic Human Factors research vectors.Cyber operations exist within a complex system of humanmachine interaction, where operators are tasked with monitoring the activities, efficacy, and progress of intelligent and autonomous computer systems (Tyworth et al., 2013). In these environments, cyber operators supervise intelligent systems as they execute tasks across networks. This places significant cognitive demand on operators due to their need to maintain situation awareness while dividing attention across dynamic task elements and managing large quantities of information. While novel within the context of humancentered cyber research, these environments share many commonalities with human supervisory control tasks.