“Ick bin een Berlina”: dialect proficiency impacts a robot’s trustworthiness and competence evaluation

Abstract

Background: Robots are increasingly used as interaction partners with humans. Social robots are designed to follow expected behavioral norms when engaging with humans and are available with different voices and even accents. Some studies suggest that people prefer robots to speak in the user’s dialect, while others indicate a preference for different dialects.