Delphine Reinhardt

About

Delphine Reinhardt is a leading researcher at the intersection of privacy, human-robot interaction, and usable security. Her work focuses on understanding and addressing the privacy challenges posed by emerging technologies, particularly service robots and telepresence systems. Reinhardt’s major contributions include pioneering studies on privacy preferences in sensitive contexts, such as older adults’ comfort with mobile assistant robots and children’s privacy trade-offs when using telepresence robots for school attendance. Her 2021 paper on older adults’ privacy preferences has garnered 22 citations, highlighting its impact on designing age-appropriate robotic systems. More recently, her 2024 work on telepresence robots in schools for children with long-term illnesses (5 citations) reveals critical conflicts between educational benefits and stakeholder privacy, while her 2025 paper on privacy-respecting service robots (2 citations) outlines a forward-looking research agenda for implementing user privacy preferences in autonomous systems. Reinhardt’s research is notable for its user-centered approach, combining empirical studies with design implications to ensure that technological advances do not compromise individual privacy. Her work is essential reading for students and researchers interested in privacy engineering, human-robot interaction, and ethical technology design.

Research Focus

Key Achievements

Top Papers

1. 1
   “I still need my privacy”: Exploring the level of comfort and privacy preferences of German-speaking older adults in the case of mobile assistant robots

   22 citations · 2021
2. 2
   "I Don't Want Parents to Watch My Lessons" – Privacy Trade-offs in the Use of Telepresence Robots in Schools for Children with Long-term Illnesses

   5 citations · 2024
3. 3
   Toward Privacy-Respecting Service Robots

   2 citations · 2025

Key Collaborators

Contact & Links