project we aim to build a mobile social robot that produces lively and socially
appropriate behavior in interaction.
My research interest lies in endowing the robot with basic dialogue capacities and further, the ability to explain its behavior in a way that is intuitively understandable by the user. The long-term prospective is to enable the user to evaluate the robot's behaviors based on the offered behavior explanation and decide on the appropriateness. The user should thus be given the opportunity to educate the robot according to their own preferences.
M.A. Linguistics: Communication, Cognition and Speech Technology
2014-2017, Universität Bielefeld
Master Thesis: Child-Directed Speech in Human-Robot-Interaction: A Study on the Role of Pitch
B.A. Phonetics and Speech Processing
2011-2014, Ludwig-Maximilians-Universität München (LMU)
Stange, S., & Kopp, S. (Accepted). Effects of a Social Robot's Self-Explanations on How Humans Understand and Evaluate Its Behavior. IEEE/ACM International Conference on Human-Robot Interaction, Cambridge, UK.
Schodde, T., Hoffmann, L., Stange, S., & Kopp, S. (2019). Adapt, Explain, Engage—A Study on How Social Robots Can Scaffold Second-language Learning of Children. ACM Transactions on Human-Robot Interaction, 9(1), 1–27. https://doi.org/10.1145/3366422
Stange, S., Buschmeier, H., Hassan, T., Ritter, C., & Kopp, S. (2019). Towards Self-Explaining Social Robots: Verbal Explanation Strategies for a Needs-Based Architecture. In Proceedings of the AAMAS 2019 Workshop on Cognitive Architectures for HRI: Embodied Models of Situated Natural Language Interactions, Montréal, Canada.