Connectionists: [3AS @ ICIAP2025] CfP: 4th Automatic Affect Analysis and Synthesis Workshop (3AS)

[Vittorio Cuculo]

[We apologize for multiple copies]

*====================================== *
*3AS* @ ICIAP2025
https://sites.google.com/unimib.it/3asiciap2025
*====================================== *

*4th Automatic Affect Analysis and Synthesis Workshop*
In conjunction with the 23rd International Conference on Image Analysis 
and Processing <https://sites.google.com/view/iciap25> (ICIAP)
Rome, Italy
15 September 2025

*Workshop Chairs*
*============*
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*
*============================*
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*
*===============*
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*
*======================*

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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