Anita Pollak
Papers
5
Total Citations
160
H-Index
4
About
Anita Pollak is a leading researcher at the intersection of industrial-organizational psychology and human-robot interaction (HRI), exploring how humans adapt to working alongside collaborative robots (cobots). Her work centers on the psychological dynamics of Industry 4.0, particularly stress, personality, and work design in automated environments. Pollak’s most influential paper, “Stress in manual and autonomous modes of collaboration with a cobot” (81 citations), established foundational insights into how automation mode affects operator wellbeing. She also developed and validated the Fluency in Human-Robot Interaction Scale (41 citations), a critical tool for measuring seamless collaboration from multiple perspectives. Her study on the Big Five personality traits and stress among robot programming students (31 citations) applies the transactional model of stress to HRI, revealing how individual differences shape stress appraisal when working with robots. More recently, Pollak has investigated counterproductive work behaviors among employees using industrial and collaborative robots, linking job satisfaction, stress, and work characteristics to negative workplace behaviors. Her research is vital for designing psychologically sustainable human-robot workplaces, offering evidence-based guidance for robot implementation that prioritizes human wellbeing alongside productivity.
Research Focus
Key Achievements
Top Papers
- 1Stress in manual and autonomous modes of collaboration with a cobot81 citations · 2020
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