The article „‚Ick bin een Berlina‘: dialect proficiency impacts a robot’s trustworthiness and competence evaluation“ by Katharina Kühne, Erika Herbold, Oliver Bendel, Yuefang Zhou, and Martin H. Fischer has been granted the UFSKW Paper-of-the-Month Award for March 2024. All authors are researchers in the Potsdam Embodied Cognition Group (PECoG) at the University of Potsdam, with the exception of Oliver Bendel, who works at the FHNW School of Business and is an associated researcher in the group. „UFSKW“ stands for „Universitärer Forschungsschwerpunkt Kognitionswissenschaften“. It is based at the University of Potsdam. The UFSKW Paper of the Month provides a special stage for current cognitive science research at the UFSKW. It is chosen monthly by the selection committee from all submissions. The paper says about the background of the project: „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.“ The following results are mentioned: „We found a positive relationship between participants‘ self-reported Berlin dialect proficiency and trustworthiness in the dialect-speaking robot. Only when controlled for demographic factors, there was a positive association between participants‘ dialect proficiency, dialect performance and their assessment of robot’s competence for the standard German-speaking robot. Participants‘ age, gender, length of residency in Berlin, and device used to respond also influenced assessments. Finally, the robot’s competence positively predicted its trustworthiness.“ The article can be accessed at www.frontiersin.org/articles/10.3389/frobt.2023.1241519/full.

Fig.: NAO in Oliver Bendel’s office in Switzerland