Martin Pszeida

Joanneum Research

Papers

4

Total Citations

27

H-Index

2

About

Martin Pszeida is a pioneering researcher at the intersection of human-robot interaction (HRI), cognitive ergonomics, and assistive robotics. His work focuses on leveraging real-time human factors—particularly gaze behavior and bio-signals—to create more intuitive, responsive, and personalized robotic systems. Pszeida’s most impactful contribution is a novel framework for assessing human state during human-robot collaboration (HRC) using gaze-based parameters, enabling real-time evaluation of situation awareness and attention processes (17 citations). This foundational work has direct implications for optimizing collaborative workflows in industrial and clinical settings. He has also advanced stress measurement in multi-tasking decision processes through executive functions analysis (8 citations). More recently, Pszeida has applied his expertise to mental health, leading the Austrian project AMIGA, which develops gender-sensitive socially assistive robots (SARs) to motivate patients with depression in cognitive training. His 2023 and 2025 papers introduce bio-signal-driven pause management and customizable SAR systems, addressing the needs of the 280 million people worldwide affected by depression. Through this blend of cognitive science, robotics, and personalized healthcare, Pszeida is shaping a future where robots are not just tools, but empathetic partners.

Research Focus

Key Achievements

2
H-Index
4
Papers
27
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Gaze-based Human Factors Measurements for the Evaluation of Intuitive Human-Robot Collaboration in Real-time
17 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 33
🏛 Institutions: Joanneum Research

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago