Mateusz Paliga
Papers
6
Total Citations
243
H-Index
5
About
Mateusz Paliga is a leading researcher at the intersection of industrial and organizational psychology and human-robot interaction. His work focuses on how collaborative robots (cobots) affect human operators, particularly regarding stress, job performance, and work engagement. Paliga’s most impactful contribution is the development and validation of the Fluency in Human-Robot Interaction Scale, a psychometric tool that measures how seamlessly humans and cobots work together. His seminal 2020 paper on stress in manual versus autonomous cobot collaboration has garnered 81 citations, establishing a foundation for understanding operator well-being in automated environments. Paliga has also explored how personality traits—especially the Big Five—influence stress responses in robot programming students, applying the transactional model of stress to this novel context. His 2022 study on work engagement as a mediator between interaction fluency and job performance (56 citations) further demonstrates his ability to connect psychological theory with practical workplace outcomes. By examining the moderating role of workload and the impact of new technologies on work design, Paliga provides critical insights for designing safer, more productive human-cobot workplaces. His work is essential reading for anyone interested in the human side of Industry 4.0.
Research Focus
Key Achievements
Top Papers
- 1Stress in manual and autonomous modes of collaboration with a cobot81 citations · 2020
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