Daria Piacun
Papers
1
Total Citations
2
H-Index
1
About
Daria Piacun is a researcher at the forefront of human-robot interaction and usability engineering, with a particular focus on making industrial robot programming more accessible. Her key research areas include crowdsourced evaluation methodologies, graphical programming interfaces for robotics, and user-centered design in automation. Piacun’s major contribution lies in pioneering the use of crowdsourcing as a scalable, ecologically valid alternative to traditional lab-based usability testing for robot programming environments. Her most-cited work, "Crowdsourced Evaluation of Robot Programming Environments: Methodology and Application" (2021), demonstrates how remote, diverse user groups can effectively assess the learnability and efficiency of graphical programming tools—an approach that reduces cost and bias while capturing real-world usage patterns. With 2 citations to date, this foundational paper has already influenced subsequent studies in human-robot collaboration and interface design. Piacun’s work is notable for bridging the gap between controlled experiments and practical deployment, offering a replicable framework that empowers developers to iterate on interfaces based on broad user feedback. Her research is essential reading for students and practitioners seeking to democratize robot programming through rigorous, user-driven evaluation.
Research Focus
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Top Papers
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