What We Research

At In-Net Labs, we examine the underlying cognitive mechanisms driving vigilance decrement, the gradual decline in sustained attention that occurs during continuous monitoring of complex computing environments. Our research focuses on how visual and auditory information streams within cybersecurity command operations influence attention, working memory, and perceptual decision -making. By analyzing how operators perceived, process, and prioritize threat-related cues under varying load conditions, we aim to better understand the neurocognitive factors that shape human performance in high-stakes monitoring contexts. 

What We Observe

We collect and analyze both survey and operational data from cybersecurity analysts to identify patterns in performance, workload perception, and situational awareness. These data allow us to characterize individual differences in vigilance, preferred interface interaction styles, and cognitive strategies during incident detection, triage, and response. Our observations help reveal how human factors interact with technical systems to influence detection accuracy, response latency, and fatigue recovery.

Our Approach

Our multidisciplinary methodology blends behavioral science, neurophysiological measurement, and linguistic analysis. Through behavioral task performance and EEG signal analysis, we examine neural makers of attention and cognitive fatigue over time. Complementing this, linguistic and discourse analysis of operator communications provides insight into cognitive load, collaboration dynamics, and the semantic patterns underlying cybersecurity decision-making. The integrated approach enables us to map the interplay between human cognition and complex operational systems, advancing both research and applied practices in cyber defense performance.