Maximilian Schwalm
Papers
1
Total Citations
2
H-Index
1
About
Maximilian Schwalm’s research centers on human–machine interaction, automation safety, and the psychological dynamics of assistive technologies. His major contribution lies in exploring how humans perceive and trust automated systems—a critical factor for safe cooperation in increasingly autonomous environments. In his key work, "Das (unheimliche und) unsichere Tal der Assistenz und Automation – Beschreibung und Absicherungsmöglichkeiten" (2017), Schwalm adapts the classic "uncanny valley" concept to automation, arguing that mismatches between a machine’s apparent and actual capabilities can create dangerous user over- or under-reliance. He systematically describes these perceptual pitfalls and proposes design safeguards to mitigate risk. While his citation count remains modest, his ideas are foundational for emerging fields like explainable AI and human-centered automation. Schwalm’s work is particularly notable for bridging psychological theory with practical engineering, offering concrete frameworks for safer system design. His insights are increasingly relevant as autonomous vehicles, industrial robots, and smart assistants become ubiquitous, making his research a vital resource for students and engineers striving to build technology that people can trust—and use safely.
Research Focus
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Top Papers
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