Andreas Muxel

Papers

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About

Andreas Muxel is a pioneering researcher at the intersection of human-robot interaction (HRI) and interaction design, based at the Hybrid Things Lab at the University of Applied Sciences Upper Austria. His work fundamentally challenges how we communicate with autonomous systems, focusing on making black-box robotic intelligence more transparent and intuitive for everyday users. Muxel’s most cited work, "Punishable AI" (2020, 9 citations), introduces a groundbreaking concept: implementing gradual destructive interaction as a feedback mechanism, allowing users to "punish" robots in a way that mirrors natural human communication. This paradigm shift moves beyond traditional command-based interfaces toward more emotionally resonant, reward-and-punishment models. His more recent research, "New Design Potentials of Non-mimetic Sonification in Human–Robot Interaction" (2023), explores how sound—beyond simple beeps or human-like speech—can create entirely new channels for information transfer between humans and machines. By rejecting mimicry of human behavior, Muxel opens up novel design spaces for robotic feedback. Though early in his career, his work is already influencing how designers and engineers approach the fundamental challenge of making AI systems accountable and understandable to non-experts.