Markus Kaakinen
Papers
2
Total Citations
129
H-Index
2
About
Markus Kaakinen is a leading researcher in the psychology of human-robot interaction, with a specific focus on how automation reshapes social identity and workplace dynamics. His work critically examines the psychological barriers to technological adoption, particularly in the welfare sector. In his highly cited 2020 study (81 citations), Kaakinen demonstrated that sharing a work team with robots can paradoxically reduce workers’ in-group identification, revealing a hidden social cost of automation. His 2019 study (48 citations) further identified key psychological and socio-demographic determinants—such as openness to change and age—that predict care workers’ readiness for robotization, offering actionable insights for implementing welfare technologies. By bridging social identity theory and applied robotics, Kaakinen’s research provides essential guidance for organizations navigating the integration of AI and robotic co-workers. His work is foundational for students and practitioners seeking to understand not just the technical, but the deeply human, challenges of our automated future.
Research Focus
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Top Papers
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