Marcin Jukiewicz
Institute of Psychology, Integrated Optoelectronics (Norway)
Papers
2
Total Citations
14
H-Index
2
About
Marcin Jukiewicz is a researcher whose work sits at the fascinating intersection of human-robot interaction and brain-computer interfaces (BCIs). His research primarily explores how humans perceive and react to artificial entities, most notably through the lens of the uncanny valley hypothesis. In his most-cited work (2019, 12 citations), Jukiewicz conducted a rigorous empirical evaluation of this hypothesis, moving beyond simple self-reports by incorporating psychophysiological measures like electrodermal activity (EDA) and response time. This multi-modal approach provided a more objective, nuanced understanding of the discomfort people feel when observing near-human characters, offering valuable insights for robotics and animation design. Beyond social perception, Jukiewicz also contributes to the technical advancement of BCIs. His 2018 study focuses on optimizing signal processing for steady-state visual evoked potential (SSVEP)-based BCIs, specifically by finding optimal frequency and spatial filters to enhance blind signal separation of EEG data. This work aims to improve the reliability and performance of non-invasive BCIs, which hold promise for enabling paralyzed individuals to control assistive technologies like wheelchairs or prosthetics. Through both empirical and technical contributions, Jukiewicz advances our understanding of how humans connect with—and control—machines.
Research Focus
Key Achievements
Top Papers
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