Aleksandra Kaszowska

Aalborg University, Tufts University

Papers

4

Total Citations

30

H-Index

3

About

Aleksandra Kaszowska is a rising researcher at the intersection of human-robot interaction (HRI), multimodal sensing, and cognitive engineering. Her work focuses on understanding and improving how people naturally interact with robots in both public and industrial settings. A key contribution is her pioneering use of user-generated YouTube videos to analyze unguided human-robot encounters in crowded public spaces, revealing how people overcome breakdowns without formal instruction—a study that has garnered 18 citations. In the manufacturing domain, she advances industrial HRI by developing multimodal attention tracking systems that integrate eye tracking and physiological sensing to detect worker attention lapses, enabling safer and more intuitive human-robot collaboration. Her research on aerial border surveillance for search and rescue missions introduced a novel hands-free tool using head-mounted eye tracking, demonstrating her commitment to applying cognitive science to real-world safety challenges. With a growing portfolio of influential papers, Kaszowska is shaping the future of adaptive, human-aware robotics.

Research Focus

Key Achievements

3
H-Index
4
Papers
30
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Using User-Generated YouTube Videos to Understand Unguided Interactions with Robots in Public Places
18 citations · 2022
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Aalborg University, Tufts University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago