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About

Stefan Ladwig is a researcher whose work sits at the intersection of human-robot interaction, technology acceptance, and social robotics. He is perhaps best known for his highly cited 2021 paper challenging existing technology acceptance models in the context of autonomous delivery robots, which has accumulated 60 citations and argues compellingly that traditional frameworks fail to capture the spontaneous, unplanned nature of human encounters with robots in public spaces. This contribution has meaningfully advanced scholarly understanding of how people respond to robots in everyday environments beyond controlled, consent-based settings. Ladwig's research portfolio spans both cognitive and social dimensions of human-technology interaction. His earlier work on mirrored visual feedback and motor learning (2012, 16 citations) reflects a grounding in embodied cognition, while his more recent investigations explore how communication style and anthropomorphic design shape user trust and satisfaction with service robots. His 2021 study on communication strategies for delivery robots demonstrates that humanlike interaction styles yield more positive outcomes, and his 2024 work extends this inquiry to joint navigation behavior. Taken together, Ladwig's contributions offer a richly layered perspective on designing robots that humans can intuitively, comfortably, and confidently engage with in real-world contexts.