Andreas Holzinger

BOKU University, Graz University of Technology

Papers

Total Citations

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About

Andreas Holzinger is a pioneering researcher at the intersection of human-computer interaction, explainable artificial intelligence (XAI), and human-robot collaboration. His work addresses some of the most pressing challenges in deploying intelligent systems in real-world environments, with a particular focus on making complex AI-driven decisions transparent, interpretable, and trustworthy for end users. Among his notable contributions, Holzinger has advanced the understanding of usability in human-robot collaborative workspaces, breaking new ground in under-explored domains such as forestry and agroforestry. His 2024 study, which has already garnered 10 citations, employed cutting-edge robotic platforms including Boston Dynamics Spot to empirically examine how humans and robots can work together effectively in challenging field environments. Complementing this, his 2025 work on counterfactual explanations for 3D semantic segmentation tackles a critical gap in explainable AI for safety-critical applications such as autonomous driving and geospatial analysis, accumulating 4 citations shortly after publication. Holzinger's research reflects a consistent commitment to bridging technical AI innovation with human-centered design principles, making him a valuable voice for students and researchers seeking to understand how intelligent systems can be made both powerful and accountable in practice.