Sebastian Hofstetter

About

Sebastian Hofstetter focuses on the integration of digital assistive technologies (DAT) and robotics into healthcare and nursing practice. His research centers on identifying learning-enhancing measures for introducing these technologies into care processes, addressing the critical gap in structured implementation concepts. Hofstetter’s major contribution lies in developing guidelines and training frameworks that enable nursing professionals to adopt DAT sustainably, ensuring these tools improve care delivery rather than disrupt workflows. His most-cited work (7 citations) proposes a qualitative study on training measures for DAT adoption, while his 2023 paper explores how robotics may reshape team dynamics in care settings. A notable achievement is his 2025 protocol for a cocreative feasibility study on a simplified interaction platform for DAT, aiming to address workforce shortages and rising care demands. With a cumulative citation count of 11 across his top papers, Hofstetter’s work is foundational for practitioners and researchers seeking to bridge technology and human-centered care, making him a key voice in the future of assistive health technologies.

Research Focus

Key Achievements

Top Papers

1. 1
   Identifikation von lernfördernden Maßnahmen zur Einführung von digitalen und assistiven Technologien (DAT) in Prozesse der pflegerischen Versorgung: eine qualitative Studie

   7 citations · 2022
2. 2
   Roboter – die neuen Kollegen im Team?

   3 citations · 2023
3. 3
   Sustainable Implementation of Digital Assistive Technologies in Health Care Through a Simplified Interaction and Control Platform: Protocol for a Cocreative Feasibility Study

   1 citations · 2025

Key Collaborators

Contact & Links