AI RESEARCH

Acoustic and Facial Markers of Perceived Conversational Success in Spontaneous Speech

arXiv CS.LG

ArXi:2604.15322v1 Announce Type: cross Individuals often align their speaking patterns with their interlocutors, a phenomenon linked to engagement and rapport. While well documented in task-oriented dialogues, less is known about entrainment in naturalistic, non-task and virtual settings. In this study, we analyze a large corpus of spontaneous dyadic Zoom conversations to examine how conversational dynamics relate to perceived interaction quality. We extract multimodal features encompassing turn-taking, pauses, facial movements, and acoustic measures such as pitch and intensity.