Decision Compression and Alert Saturation in Combat UAV Operations Under Electronic Warfare Conditions in Ukraine

Combat UAV operations conducted during the war in Ukraine occur in environments characterized by persistent electronic warfare (EW), degraded telemetry, and high-density alert conditions. Under these circumstances, operators must maintain performance while making rapid decisions based on incomplete and often unreliable system feedback. Analysis of real-world UAV operations identified recurring patterns of behavioral adaptation associated with alert saturation and decision compression. Based on publicly available operator accounts, five recurring behavioral patterns were identified: alert saturation under degraded conditions, decision compression, cross-platform interface inconsistency, adaptive alert filtering, and informal coordination strategies. The findings indicate that as system reliability degrades, operators increasingly rely on heuristic-based decision-making using partial cues and prior experience. The reviewed accounts suggest that degraded conditions can be a recurring feature of UAV operations. As a result, maintaining operational performance depends increasingly on human adaptability. These observations support the development of UAV systems that better assist operators during prolonged degraded conditions and sustained uncertainty.