GUEST EDITOR: Yuefang Zhou, University of Potsdam, Germany
ADVISORY EDITORS Martin Fischer, Department of Psychology, University of Potsdam, Potsdam, Germany Nicole Krämer, Department of Social Psychology, Media and Communication, University of Duisburg-Essen, Germany Janett Mohnke, Department of Engineering and Natural Sciences, Technical University of Applied Sciences, Wildau, Germany
DESCRITPION Artificial intelligence (AI) is fast becoming part of our everyday lives. In fact, it is touching more aspects of our lives than many of us realize: healthcare robots are assisting the elderly in care homes; intelligent artificial tutors are increasingly complementing human teachers in the classroom; and companion robots are gradually stepping into our private sphere of life. We all agree that the way in which we humans interact with AI has significant implications for us individuals and for society; we are yet to understand how to learn from humanoid AI, including in particular motivational, social and cognitive-emotional processes . This thematic special issue is devoted to the publication of high-quality research papers, in part, presented during the International Workshop: Learning from Humanoid AI: Motivational, Social and Cognitive Perspectives. The aim of the workshop was to address some of the fundamental questions in human-robot interaction, for example, are there some general principles of human-robot interaction that can inform robot designs in different fields including healthcare, education and entertainment? How can we learn from different perspectives to utilize common principles for improved human-robot interaction? In our workshop, we brought together a panel of international researchers from different disciplines. We aim to foster collaboration and to establish new synergies in this research field.
"Human vs computer: What effect does the source of information have on cognitive performance and achievement goal orientation?" by Nicolas Spatola, Johann Chevalère, Rebecca Lazarides DOI: https://doi.org/10.1515/pjbr-2021-0012
"AI and robotics to help older adults -- Revisiting projects in search of lessons learned" by Gabriella Cortellessa, Riccardo De Benedictis, Francesca Fracasso, Andrea Orlandini, Alessandro Umbrico, Amedeo Cesta
DOI: https://doi.org/10.1515/pjbr-2021-0025
"CASIE – Computing Affect and Social Intelligence for Healthcare in an Ethical and Trustworthy manner" by Laurentiu Vasiliu, Keith Cortis, Ross McDermott, Aphra Kerr, Arne Peters, Marc Hesse, et al.
DOI: https://doi.org/10.1515/pjbr-2021-0026
