Call for Papers-SI on ETMACEHMI

Aims and Scope

The Special Issue on "Emerging Trends in Multimodal Affective Computing for Enhanced Human-Machine Interaction" invites high-quality research contributions on innovative approaches that advance the integration of multimodal data (e.g., text, audio, visual, and physiological signals) for emotion recognition and interaction. The primary aim is to explore cutting-edge methodologies and applications that leverage multimodal affective computing to create emotionally intelligent systems for real-world human-machine interaction.

This special issue is particularly relevant due to the rapid progress in AI technologies, which have significantly enhanced the ability to capture and analyse emotions through multiple data channels which have made it possible to capture and analyze emotions through multiple data channels more effectively than ever before. The increasing adoption of emotion-aware systems in areas such as healthcare, education, and entertainmentt reveal the need of further investigating multimodal solutions that enhance machine empathy and engagement.

We invite researchers to contribute to this emerging field by submitting original research articles, surveys, and application papers that address multimodal emotion recognition, dynamic affective states, ethical considerations, and the creation and evaluation of novel datasets. This special issue will present recent advances in the field, and the evolution of human-machine interaction into more emotionally aware systems.

Topics of Interest

· Emotion recognition and response generation in empathic dialogue systems
· Multimodal emotion recognition from diverse signals (e.g., text, speech, visual, and physiological)
· Techniques for multimodal data fusion and integration
· Multi-emotion coexistence and hybrid emotion recognition systems
· Real-time detection and response to complex affective states
· Empathic interaction and human-machine co-adaptation
· Multimodal and multimedia generative models
· Dynamic evolution of emotions during interactions and time-series modeling
· Emotion-based interaction in multimedia content (e.g., films, music, games)
· Emotion-driven interactions through large language models (LLMs)
· Integration of affective computing in interactive virtual environments
· Adaptive emotion recognition in multi-agent and collaborative environments
· Emotion modeling using physiological data (e.g., EEG, fNIRS, GSR)
· Affective computing for health, education, and entertainment applications
· Novel datasets and benchmarking frameworks for multimodal affective computing
· Ethical, transparency, and trustworthiness considerations in emotion-aware systems

Proposed Submission Deadline

31 January 2025

Lead Guest Editor

Alfredo Milani
University of Perugia, Italy
Email: alfredo.milani@unipg.it

Guest Editors

Valentina Franzoni
University of Perugia, Italy
Email: valentina.franzoni@unipg.it

Clement Leung
The Chinese University of Hong Kong, China
Email: clementleung@cuhk.edu.cn