DEVELOPMENT OF A HUMAN-MACHINE INTERFACE FOR SEARCHING MISSING TOURISTS BY A UAV GROUP

Abstract

The theses present a theoretical and methodological analysis of the development of a human-machine interface (HMI) for searching missing tourists using a group of unmanned aerial vehicles (UAVs). Human-machine interaction is viewed as a key component for improving the efficiency and safety of search and rescue operations under challenging geographic, weather, and temporal conditions. At the core of this study lies a modern approach to designing an HMI focused on the cognitive capabilities of the operator, who must process a large volume of data within a limited timeframe. This approach incorporates principles of adaptive design, situational awareness, structured visualization of information flows, and the implementation of artificial intelligence tools to support decision-making. The developed HMI is an integrated part of a UAV group control command center, combining data from mapping services, sensor systems, video analytics, and telemetry into a unified informational-analytical dashboard. It is emphasized that the combination of autonomous UAV navigation and intuitive control via HMI creates the foundation for rapid localization of affected individuals and the organization of effective rescue efforts. The relevance of the study stems not only from the needs of civil protection but also from the increasing volume of domestic and international tourism, which is accompanied by a growing number of emergency situations in remote regions.