Stefanie Lindstaedt

Graz University of Technology, Know Center Research GmbH (Austria)

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About

Stefanie Lindstaedt is a leading researcher at the intersection of human-computer interaction, artificial intelligence, and workplace learning. Her work focuses on understanding how workers perceive and interact with emerging technologies, particularly in industrial and construction settings. In her highly cited 2022 study, Lindstaedt conducted an exploratory case study in an Austrian SME to investigate what construction workers actually know about artificial intelligence, revealing critical insights into the gap between technological deployment and worker understanding. This research, with 10 citations, has become foundational for designing more inclusive AI implementation strategies. Her 2019 work on human-machine-robot technologies for cognitive processes (9 citations) further explores how cognitive technologies can augment human capabilities in complex work environments. Lindstaedt’s contributions are particularly notable for bridging technical AI development with social science methodologies, ensuring that technological progress does not outpace human readiness. Her research has significant implications for workforce training, technology adoption, and the ethical deployment of AI in traditional industries.