3 papers
cs.HC2025
Multimodal Quantitative Measures for Multiparty Behaviour Evaluation
Ojas Shirekar, Wim Pouw, Chenxu Hao +3
Digital humans are emerging as autonomous agents in multiparty interactions, yet existing evaluation metrics largely ignore contextual coordination dynamics. We introduce a unified…
cs.AI2025
Indeterminacy in Affective Computing: Considering Meaning and Context in Data Collection Practices
Bernd Dudzik, Tiffany Matej Hrkalovic, Chenxu Hao +2
Automatic Affect Prediction (AAP) uses computational analysis of input data such as text, speech, images, and physiological signals to predict various affective phenomena (e.g., em…
cs.AI2024
MindForge: Empowering Embodied Agents with Theory of Mind for Lifelong Cultural Learning
Mircea Lică, Ojas Shirekar, Baptiste Colle +1
Embodied agents powered by large language models (LLMs), such as Voyager, promise open-ended competence in worlds such as Minecraft. However, when powered by open-weight LLMs they…