[We apologize for multiple copies]
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3AS @ ICIAP2025
https://sites.google.com/unimib.it/3asiciap2025
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4th Automatic Affect Analysis and Synthesis Workshop
In conjunction with the 23rd International Conference on Image Analysis and Processing (ICIAP)
Rome, Italy
15 September 2025
Workshop Chairs
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Nadia Bianchi-Berthouze, University College of London, UK
Luigi Celona, University of Milano-Bicocca Italy
Vittorio Cuculo, University of Modena and Reggio Emilia, Italy
Alessandro D’Amelio, University of Milano, Italy
Javier Lorenzo Navarro, Universidad de Las Palmas de Gran Canaria, Spain
Scientific Program Committee
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Leonardo Alchieri, Università della Svizzera italiana, Switzerland
Hane Aung, Cornell University, USA
Giuseppe Boccignone, University of Milano, Italy
Carlos Busso, University of Texas Dallas, USA
Pedro J.S. Cardoso, University of Algarve, Portugal
Gianluigi Ciocca, University of Milano-Bicocca, Italy
Livia Del Gaudio, University of Modena and Reggio Emilia
Sabrina Patania, University of Milano-Bicocca, Italy
Michael Valstar, University of Nottingham, UK
Guoying Zhang, University of Oulu, Finland
(others to be confirmed)
Important Dates
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Paper submission deadline: 14 June 2025
Paper acceptance notification: 1 July 2025
Paper camera ready due: 10 July 2025
Registration: TBA
Workshop date: 15 September 2025
Call for papers
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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.
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