Séminaire ayant lieu dans le cadre du Doctorat en informatique cognitive, en collaboration avec le centre de recherche CRIA          

TITRE :  Affective Computing and Emotional Understanding: Beyond the Cold Logic of the Turing Test

Chloe CLAVEL

Jeudi le 27 novembre 2025 à 10h30

Local PK-5115 (Il est possible d'y assister en virtuel en vous inscrivant ici)           

RÉSUMÉ

This talk examines how affective computing can transcend the traditional boundaries of the Turing Test by incorporating emotional understanding and socio-affective intelligence into AI systems. While the classic Turing Test evaluates a machine's ability to exhibit intelligent behavior indistinguishable from humans through purely linguistic exchanges, I will argue for expanding this paradigm to include emotional and social competencies. Drawing from recent advances in multimodal emotion recognition, social signal processing, and human-agent interaction, I will present computational models that capture not just what people say, but how they feel and the social context of their interactions. The discussion will cover our work on modeling socio-emotional behaviors including trust, engagement, and social stances in conversational AI systems, demonstrating how machines can be designed to recognize, understand, and appropriately respond to human emotions. I will address the challenges of moving beyond "cold logic" to develop socially intelligent systems that can navigate the nuanced landscape of human emotional expression, ultimately arguing that true artificial intelligence must incorporate affective understanding to be genuinely useful and acceptable to human users.

BIOGRAPHIE

Chloe CLAVEL is Senior Researcher (Directrice de recherche) at INRIA Paris in the ALMAnaCH team, focusing on Affective Computing and Artificial Intelligence. Until October 2023, she was Professor of Affective Computing at LTCI, Telecom-Paris, Institut Polytechnique de Paris, where she coordinated the Social Computing team. Her research lies at the intersection of multiple disciplines including speech and natural language processing, machine learning, and social robotics. Clavel studies computational models of socio-emotional behaviors--sentiments, social stances, engagement, trust--in both human-human and human-agent interactions. Her work spans multimodal emotion recognition, opinion analysis, social signal processing, and conversational AI systems. She is motivated by applications in health and education where affective computing can empower people and improve quality of life. Clavel has contributed to numerous European and national collaborative projects and serves as program chair for major AI conferences.

RÉFÉRENCES

Chenain, L., Bachoud-Lévi, A.-C., & Clavel, C. (2024). Acoustic Characterization of Huntington's Disease Emotional Expression: An Explainable AI Approach. ACIIW 2024.

Clavel, C., Labeau, M., & Cassell, J. (2022). Socio-conversational systems: Three challenges at the crossroads of fields. Frontiers in Robotics and AI, 9, 737173.

Guo, Y., Suchanek, F., & Clavel, C. (2024). The Curious Decline of Linguistic Diversity: Training Language Models on Synthetic Text. Findings of NAACL.

Guibon, G., Labeau, M., Flamein, H., Lefeuvre, L., & Clavel, C. (2021). Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks. EMNLP.