Affective Computing for Managing Crisis Communication

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.