Maximilian Siebert
Papers
2
Total Citations
27
H-Index
2
About
Maximilian Siebert is a leading researcher in human-robot interaction and nursing robotics, focusing on the critical intersection of technology adoption and healthcare practice. His work centers on understanding and improving the acceptance of assistive robotic systems among key stakeholders—professional nurses, care recipients, and their relatives. Siebert’s major contributions lie in applying user-centered design (UCD) methodologies to identify real-world needs and barriers, ensuring that robotic solutions are developed for, not imposed upon, clinical environments. His most-cited paper, “Acceptance of a robotic system for nursing care” (2024, 20 citations), provides foundational survey data on end-user acceptance, while his earlier “Nutzerorientierte Bedarfsanalyse” (2022, 7 citations) offers a detailed German-language needs analysis for assistive robots in direct care. Through the interdisciplinary “PfleKoRo” project, Siebert has advanced evidence-based frameworks that bridge engineering and nursing, helping to shape how robotic systems can reduce physical strain on caregivers while maintaining patient dignity. His work is essential for students and researchers seeking to understand the human factors that determine successful technology integration in healthcare.
Research Focus
Key Achievements
Top Papers
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