Tanja Zigart
Papers
2
Total Citations
20
H-Index
2
About
Tanja Zigart is a researcher at the forefront of human-robot interaction and technology-enhanced learning, with a particular focus on collaborative robotics and social robotics. Her most influential work, "Learning Nuggets for Cobot Education" (15 citations), introduces a groundbreaking conceptual framework for adaptive learning content in collaborative robot training, demonstrating how micro-learning units can be effectively implemented to upskill industrial workforces. This contribution addresses the critical challenge of preparing humans to work alongside cobots in modern manufacturing environments. In her notable study on the Pepper robot (5 citations), Zigart conducted a large-scale user acceptance survey with 239 participants, applying the Technology Acceptance Model to evaluate the social robot's viability as a business communication channel. This work provides valuable insights into the psychological and practical barriers to deploying humanoid robots in professional settings. Her research uniquely bridges the gap between technical robotics implementation and human factors, making her work essential reading for those interested in the socio-technical aspects of Industry 4.0 and the future of human-robot collaboration.
Research Focus
Key Achievements
Top Papers
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