Atte Oksanen
Papers
19
Total Citations
1,375
H-Index
15
About
Atte Oksanen is a prominent Finnish social scientist whose research sits at the intersection of human-technology interaction, robotics acceptance, and digital well-being. His work has fundamentally advanced our understanding of how individuals and societies adapt to — and sometimes resist — the growing presence of robots and artificial intelligence in professional and everyday life. Oksanen's most influential contributions include systematic examinations of robot acceptance across occupational fields and care settings, accumulating over 246 and 137 citations respectively. His development of theoretical frameworks such as the Robot Acceptance Model for Care (RAM-care) and the Robot Use Self-Efficacy in Healthcare (RUSH) scale has provided researchers and practitioners with rigorous tools to measure and interpret human-robot dynamics. His large-scale multilevel analysis spanning 27 EU countries demonstrated how cultural and national factors shape workplace robot acceptance, while his experimental work on trust toward AI has garnered significant scholarly attention, exceeding 115 citations. Beyond workplace robotics, Oksanen has made meaningful contributions to understanding how ICT can address loneliness and social isolation among aging populations. With a body of work collectively cited thousands of times, his research profoundly informs policy decisions around technological integration in healthcare, welfare services, and an increasingly automated society.
Research Focus
Key Achievements
Top Papers
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- 2Self-efficacy and acceptance of robots189 citations · 2018
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- 6Robot Acceptance at Work: A Multilevel Analysis Based on 27 EU Countries103 citations · 2019
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