S. V. Mazur
Papers
1
Total Citations
3
H-Index
1
About
S. V. Mazur is a researcher in human-robot interaction (HRI) and psychophysiology, focusing on how movement dynamics and communication cues shape collaborative experiences. Their most-cited work, "Influence of Movement Speed and Interaction Instructions on Subjective Assessments, Performance and Psychophysiological Reactions During Human-Robot Interaction" (2023), systematically examines how robot motion parameters and verbal guidance affect users’ emotional responses, task efficiency, and physiological markers like heart rate or skin conductance. This study bridges subjective perception with objective biometrics, offering design insights for safer, more intuitive robotic systems. Though early in their career, Mazur’s work has already garnered 3 citations, signaling growing interest in their integrative approach. By quantifying how subtle changes in robot behavior influence human trust and workload, they contribute to the development of adaptive, human-aware robots for manufacturing, healthcare, and service settings. Their research underscores the importance of aligning robotic motion with human expectations, a key challenge in modern HRI.
Research Focus
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Top Papers
- 1