Solveig Nakladal
Papers
1
Total Citations
3
H-Index
1
About
Solveig Nakladal is a rising researcher in human-robot interaction (HRI), with a focus on how movement dynamics and communication cues shape user experience. Her most-cited work, "Influence of Movement Speed and Interaction Instructions on Subjective Assessments, Performance and Psychophysiological Reactions During Human-Robot Interaction" (2023), investigates the subtle yet critical role of robot motion parameters—such as speed—and verbal instructions in influencing human trust, comfort, and task efficiency. By combining subjective surveys with objective psychophysiological measures (e.g., heart rate, skin conductance), Nakladal provides a nuanced understanding of how robots can be designed to foster natural, stress-free collaboration. Though early in her career, her research has already garnered attention for its interdisciplinary approach, bridging robotics, psychology, and ergonomics. This work is particularly relevant for developing socially assistive robots in healthcare, manufacturing, and service settings, where intuitive interaction is paramount. Nakladal’s contributions underscore the importance of fine-tuning robot behavior to align with human expectations, laying groundwork for more adaptive and user-friendly robotic systems.
Research Focus
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Top Papers
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