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About

Ina Schiering is a researcher whose work sits at the compelling intersection of privacy, social robotics, and human-robot interaction. Her scholarship addresses one of the most pressing challenges in modern robotics: as autonomous and socially assistive robots become increasingly integrated into domestic and everyday environments, they inevitably collect vast quantities of sensitive personal data, including audio, video, and behavioral information. Schiering has made significant contributions to establishing principled frameworks for addressing these concerns, most notably through her work on privacy-centered design for social robots (2019, 22 citations) and her development of a dedicated privacy framework for context-aware robot development (2021). Her 2018 meta-study on privacy and socially assistive robots further demonstrates her commitment to synthesizing the field's evolving understanding of these ethical challenges. Beyond privacy research, Schiering has contributed to applied robotics, including neural network-based ball detection at RoboCup 2017, and has shown a strong commitment to robotics education through interdisciplinary teaching scenarios and agile development methodologies in student projects. Her body of work reflects a researcher dedicated to ensuring that the rise of social robotics is guided by robust ethical and privacy principles from the ground up.