Affective computing is a research field dedicated to endowing machines with the ability to recognize, interpret, and generate emotions, enhancing human-computer interaction in applications such as virtual assistants, storytelling, and immersive experiences. This workshop focuses on two key areas: Affective Understanding and Affective Generation. Affective Understanding involves analyzing human emotions using multimodal data, including visual, auditory, textual, and physiological signals. Key challenges include ensuring transparency with explainable AI, protecting sensitive emotional data through privacy-preserving techniques, and mitigating bias to promote fairness and inclusivity. Affective Generation focuses on producing emotionally expressive content or responses that elicit specific reactions in humans. The rise of Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs) has significantly advanced this field, enabling more sophisticated emotional modeling and response generation.

We invite original contributions that address a wide range of theoretical and practical issues, including but not limited to:

• Emotion recognition in large-scale multimodal datasets;

• Sentiment analysis leveraging deep learning techniques;

• Affective computing in generative AI applications;

• Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs) for affective computing;

• Bias mitigation strategies in emotion-aware models;

• Privacy-enhancing techniques for affective data processing;

• Explainability and fairness in AI-driven emotional analysis;

• Emotion-aware reinforcement learning;

• Affective computing applications in robotics and human-robot interaction;

• Interactive affective content creation for entertainment and media;

• Novel datasets and benchmarks for emotion recognition;

• Affective applications: medical, assistive; virtual reality; entertainment; ambient intelligence; multimodal interfaces.

All the accepted workshop papers will be published by Springer LNCS in a separate proceedings book. Furthermore, selected papers of the workshop will be invited to be extended for a special issue on a leading international journal.