Wolfgang Weiss

Joanneum Research

Papers

3

Total Citations

20

H-Index

2

About

Wolfgang Weiss is a pioneering researcher at the intersection of human-robot interaction (HRI), cognitive engineering, and assistive robotics. His work centers on making robotic systems more intuitive, adaptive, and trustworthy—particularly in high-stakes collaborative and therapeutic settings. Weiss’s most impactful contribution is a novel framework that leverages real-time gaze analysis to assess human situation awareness during human-robot collaboration (HRC). This work, published in 2019 and garnering 17 citations, enables robots to dynamically interpret human attention, a critical step toward safer and more seamless industrial teamwork. He has also advanced socially assistive robotics for healthcare, proposing architectures for physiotherapeutic robots that adapt tasks to build user trust, and—in his most recent 2025 study—developing a gender-sensitive robot system for cognitive training in patients with depression. This system uses bio-signal-driven pause management to sustain motivation, addressing a global health challenge affecting 280 million people. By bridging real-time cognitive state measurement with robotic responsiveness, Weiss is shaping a future where robots are not just tools, but attentive partners in both work and healing.

Research Focus

Key Achievements

2
H-Index
3
Papers
20
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 (1 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: Joanneum Research

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago