Niklas Baecker
Papers
1
Total Citations
7
H-Index
1
About
Niklas Baecker is a pioneering researcher at the intersection of human-robot interaction, educational technology, and agile methodologies. His work explores how social robots can serve as collaborative agents in hybrid learning and professional environments. In his most-cited study, Baecker demonstrated the NAO humanoid robot acting as a Scrum Master in higher education settings, investigating how such robots build rapport with students in blended classrooms. This scenario-based research, cited 7 times, challenges traditional boundaries between automation and human-centered teamwork. Baecker’s contributions are notable for applying robotics not just to STEM instruction but to soft skills development and process facilitation. By integrating agile frameworks with embodied AI, he opens new pathways for using robots as mediators in collaborative work. His research is especially relevant for educators, human-computer interaction scholars, and practitioners designing future-ready learning ecosystems. Baecker’s work stands out for its practical, scenario-driven approach, offering concrete insights into how humanoid robots can foster engagement and structure in hybrid settings.
Research Focus
Key Achievements
Top Papers
- 1