Lea Daling
Papers
1
Total Citations
19
H-Index
1
About
Lea Daling is a leading researcher at the intersection of human-robot collaboration and workforce development, with a focus on the sociotechnical challenges of Industry 4.0. Her most-cited work, "Challenges and Requirements for Employee Qualification in the Context of Human-Robot-Collaboration" (2018, 19 citations), critically examines how the integration of collaborative robots into production environments demands a fundamental rethinking of employee qualification strategies. Daling’s key contributions lie in identifying the specific skills and competencies—such as adaptive problem-solving and technical literacy—that workers need to thrive alongside intelligent automation. Her research bridges the gap between technological implementation and human factors, emphasizing that successful Industry 4.0 adoption depends as much on workforce training as on hardware. By mapping the requirements for effective human-robot interaction, Daling has provided a foundational framework for companies and educators designing qualification programs. Her work highlights the pressing need to prepare employees for increasingly interactive, data-driven workplaces, making her a vital voice in shaping the future of work.
Research Focus
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Top Papers
- 1