The field of human-computer interaction is witnessing a significant shift towards incorporating emotional intelligence and cultural adaptability. Researchers are exploring innovative ways to develop AI systems that can understand and respond to human emotions, while also being sensitive to diverse cultural norms. This movement is driven by the need to create more inclusive and empathetic interactions between humans and machines. Noteworthy papers in this area include:

• AI shares emotion with humans across languages and cultures, which demonstrates the potential for AI systems to represent emotion in language in a way that is structurally congruent with human perception.
• Affective-CARA: A Knowledge Graph Driven Framework for Culturally Adaptive Emotional Intelligence in HCI, which introduces a framework that integrates a Cultural Emotion Knowledge Graph with Valence, Arousal, and Dominance annotations to deliver narratives that are deeply personalized and sensitive to diverse cultural norms.