Papers

2

Total Citations

32

H-Index

2

About

Paul Preenen is a leading researcher at the intersection of technology, ethics, and human performance in the workplace. His primary research areas focus on the socio-technical implications of artificial intelligence and robotics, particularly within logistics and warehouse environments. Preenen’s major contributions include developing an ethical framework for evaluating experimental technologies in the workplace, a seminal work that has garnered 23 citations and provides crucial guidance for responsible AI implementation. He is also known for his experimental studies on human-robot interaction, notably investigating how Automated Guided Vehicles (AGVs) impact employee boredom and performance. His 2024 study on this topic, with 9 citations, reveals critical insights into the delicate balance between workload and autonomy when humans work alongside collaborative robots. Preenen’s work is distinguished by its practical, evidence-based approach to understanding how emerging technologies reshape job design and employee well-being. His research is essential reading for anyone interested in the future of work, offering a nuanced perspective on how to harness technological innovation while safeguarding human dignity and performance in increasingly automated environments.

Research Focus

Key Achievements

2
H-Index
2
Papers
32
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Assessing the artificially intelligent workplace: an ethical framework for evaluating experimental technologies in workplace settings
23 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Netherlands Organisation for Applied Scientific Research

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago