Alexander Arntz
Papers
16
Total Citations
126
H-Index
9
About
Alexander Arntz is a researcher specializing in human-robot interaction (HRI), human-robot collaboration (HRC), and the application of virtual reality (VR) as an experimental methodology for studying these dynamics. His work sits at a compelling intersection of artificial intelligence, industrial robotics, and human factors research, with a particular focus on how humans perceive, trust, and collaborate with AI-driven robotic systems in shared task environments. Among his most significant contributions is the development of virtual sandbox approaches that allow researchers to safely and cost-effectively simulate industrial human-robot collaboration scenarios — a methodological innovation that has resonated widely across the field. His investigations into augmented communication channels between humans and robots, accumulated across several papers totaling over 90 citations, have shed light on how transparency and autonomy shape human judgments of blame and credit when robotic collaboration goes wrong. Arntz has also explored the ethical dimensions of robotics, examining moral decision-making and discriminatory behavior in multi-user robot interaction scenarios. Notably, his consistent use of VR as a research platform distinguishes his methodological approach, offering controlled yet ecologically relevant experimental settings. His body of work provides valuable foundations for researchers, designers, and engineers working to build more effective, ethical, and human-centered robotic systems.
Research Focus
Key Achievements
Top Papers
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- 5Augmenting the Human-Robot Communication Channel in Shared Task Environments12 citations · 2020
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- 7Machine Learning Concepts for Dual-Arm Robots within Virtual Reality11 citations · 2021
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- 9Receiving Robot’s Advice: Does It Matter When and for What?9 citations · 2020
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