Human Behavior Analysis and Interaction for Emotional Intelligence: Advances, Challenges, and the Road Ahead — EI-MiGA 2026
MCML Authors
Jiadong Wang
Dr.
Björn Schuller
Prof. Dr.
Core PI
Abstract
Jiadong Wang
Dr.
Björn Schuller
Prof. Dr.
Core PI
Abstract
Emotional intelligence, the capacity of machines to perceive, interpret, and respond to human affective states, demands a holistic understanding of behavior that spans subtle body movements, spoken language, and social interaction. This paper presents the proceedings and position of The First Joint Workshop on Human Behavior Analysis and Interaction for Emotional Intelligence at IJCAI 2026, bringing together with the 4th MiGA Challenge. The competitive MiGA challenge attracted 66 registered participants from worldwide institutions across three tracks. Beyond the competition session, the contributed workshop papers in the other two sessions further highlight recent advances in emotional intelligence. The Explainability in Emotional Intelligence session features papers on interpretability-driven speech emotion recognition and hate speech detection, as well as trustworthiness in speech language models. The Affective Interaction and Social Computing session focuses on socially grounded and safety-critical topics, including richness-aware emotional dialogue generation and clinical safety auditing of implicit sycophancy in mental health dialogue systems. Together, these contributions position the field toward trustworthy and socially aware emotional intelligence, while exposing persistent open challenges in evaluation rigor, domain adaptation, and clinical deployment.
inproceedings CRW+26
IJCAI-ECAI 2026
35th International Joint Conference on Artificial Intelligence. Bremen, Germany, Aug 15-21, 2026.
Authors
H. Chen • Z. Ren • J. Wang • E. M. Provost • E. Adeli • B. W. Schuller • T. Schultz • G. ZhaoLinks
DOIResearch Area
BibTeXKey: CRW+26