@inproceedings{0d77523e9acb429794f7217a72737d01,
title = "Affective Computing for Managing Crisis Communication",
abstract = "The cross-disciplinary thesis 'Affective Computing for Managing Crisis Communication' intends to explore the emotion factors in crisis communication by applying affective computing methods. The purpose of the research is to increase communication efficiency amid crises by developing: (1) a deeper understanding of the role and impact of emotions in crisis situations; (2) a conceptual framework for affective computing-supported crisis communication and (3) a machine learning-driven real-time crisis emotion monitoring tool ('affective social listening') that supports crisis communicators with a predictive potential regarding the potential outcomes in different crisis scenarios.",
keywords = "affective computing, computational communication, crisis communication, emotions in crisis",
author = "Egle Klekere",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.",
year = "2023",
doi = "10.1109/ACIIW59127.2023.10388077",
language = "English",
isbn = "979-835032745-8",
series = "2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2023",
publisher = "IEEE",
pages = "1--4",
booktitle = "2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos Aciiw 2023",
}