Abstract: Robots are increasingly integrated into daily human activ ities. While they can contribute to improve our quality of life, they are equipped with a wide range of sensors, are often mobile, and offer unprecedented interaction capabilities, thus potentially endangering our privacy. In this keynote, we will examine the different endangered dimensions of privacy—including informational, physical, and social privacy—and their implications for robot design and functionality. Based on different case studies, we will discuss strategies for implementing privacy-preserving mechanisms that not only comply with regulatory requirements but also align with the users’ expectations and preferences. Ultimately, this keynote will advocate for a user-centric and privacy-aware design of future robotic applications
Bio: Prof. Dr.-Ing. Delphine Reinhardt is a full professor and head of the Computer Security and Privacy group at the University of Gottingen. She is currently the Vice Dean of the Faculty of Mathematics and Computer Science and the director of the Institute of Computer Science. In the 2023/2024 winter semester, she was a visiting professor at the School of Computer Science and Engineering, the University of New South Wales Sydney, Australia as well as at the School of Computing and Information Systems, Singapore Management University, Singapore. She is an IEEE Senior Member since 2021.In 2019, she was nominated as one of 10 worldwide ”RisingStars in Networking and Communications” by N2Women and was awarded the Johann-Philipp-Reis-Preis for outstanding in-novative publications. Before moving to Gottingen in January2018, she was an assistant professor at Rheinische Friedrich-Wilhelms-Universitat Bonn in Germany from 2014 to 2017,leading the “Privacy and Security in Ubiquitous Computing” group at the Institute of Computer Science 4. She was also associated to the Fraunhofer Institute for Communication, Information Processing and Ergonomics (FKIE) during thattime. She completed her doctoral degree in computer science(with distinction) on privacy in participatory sensing in 2013 atTechnische Universit¨at Darmstadt and the Center for AdvancedSecurity Research Darmstadt (CASED). Her dissertation was awarded by the Communication and Distributed Systems Group (KuVS) supported by the German Informatics Society (GI) and ITG-VDE, the Information Technology Society (ITG) of the German Association for Electrical, Electronic andInformation Technologies (VDE), as well as the Associationof the Friends of the Technische Universitat Darmstadt foroutstanding academic achievements. Since 2009, she hold adouble-degree in electrical engineering from TU Darmstadtand Ecole Nationale Sup´erieure de l’Electronique et ses Ap-plications (ENSEA), France.