Ai-Based Voice Dialogue System for Enhancing Crisis Management in the Krisan Project

The COVID19 pandemic exposed the challenges decision makers involved in a crisis face in obtaining a reliable picture of the situation. Collecting data rapidly and efficiently, incorporating diverse sources of information, and merging information into a nearrealtime situational picture are crucial for managing critical situations effectively. The primary objective of the KRISAN research project is to develop the model for an AI-based assistance system that can automatically manage calls to hotlines and control centres and create a nearrealtime situational picture during a crisis. This system aims to significantly enhance crisis management capabilities by providing decision makers with timely and accurate information. After the transfer into a product, the AI-based voice dialogue system will process hundreds of simultaneous calls. Two selected use cases, in which the phone calls are simulated, will be used to analyze and evaluate these calls in realtime using automated call centre support. Consequently, the system will dynamically generate relevant questions based on the course of the call to extract relevant information from the caller. By streamlining the callhandling process and leveraging AI technology, the KRISAN project aims to improve crisis response effectiveness, resource management, and contribute to better outcomes during health emergencies.