By employing a multimodal approach encompassing the analysis of behavioral and physiological data, our project aims to contribute to the broader understanding of the intentional stance and the social competence of artificial agents. We strive to shed light on the intricate mechanisms underlying human- robot conversational interactions, paving the way for future advancements in this burgeoning field.