Signalizing and Predicting Turn-Taking in Multilingual Contexts: Using Data from Transcribed International Spoken Journalistic Texts in Human-Robot Interaction

摘要

Data from transcribed spoken journalistic texts from international news networks is employed in the signalization and prediction of turn-taking in Human-Computer Interaction and Human-Robot Interaction in multilingual contexts, taking into account the verbal and non-verbal behavior of international speakers.