Emergency Speaking Communication: Experience from the USA and Europe

Abstract

For coordination of emergency services, minimizing panic and fast response, effective voice communication in an emergency is critical. However, the approaches toward crisis communication are being changed by modern technologies, such as the use of artificial intelligence, automated alert systems, as well as multilingual platforms, yet there are still a few challenges, and these are mainly connected to the human factor on one side and intercultural adaptability of messages on the other. It is a study to analy ze peculiarities of emergency speech communication in general, and American and European experience respectively. Based on a comparative analysis of crisis communication models, content analysis of scientific publications, statistical analysis of effectiveness of digital communication technologies and cognitive analysis of the influence of stress conditions on emergency service operators, the empirical and research methodology is proposed. The research indicates that the ways in which AMERICANs and EUROPEANS communicate in crises utilize different communication approaches such as centralized automated alert systems for AMERICANs and more intercultural adaptation due to the social aspects of communication that applies to EUROPEANS. Further, the level of stress and emotional burnout of dispatchers significantly impacts the accuracy and speed of information transmission, and thus these dispatchers need of psychological aid and training preparation. It is also proved that the introduction of artificial intelligence and fake news detection algorithms can significantly reduce disinformation during crisis situations. The practical significance of the study is to formulate recommendations for improving crisis communication by integrating digital technologies, increasing the resilience of communicators to stress, and improving the adaptation of messages to the cultural characteristics of the population. Promising areas for further research are the development of adaptive models of crisis communication for a multilingual environment, the integration of artificial intelligence for personalized crisis communication, and the improvement of mechanisms to combat disinformation.