Maximilian Wieser

Papers

Total Citations

H-Index

About

Maximilian Wieser is a leading researcher in human-robot interaction (HRI), with a primary focus on trust, task performance, and predictive communication in industrial collaboration. His most-cited work, "Effects of Predictive Robot Eyes on Trust and Task Performance in an Industrial Cooperation Task" (2023, 7 citations), investigates how equipping industrial cobots with anthropomorphic, gaze-based cues can enhance human predictability and trust. By demonstrating that robot eye movements intuitively signal upcoming actions—mirroring natural human communication—Wieser addresses a critical challenge in HRI: the unpredictability of variable robot sequences. His contributions bridge cognitive science and robotics, offering practical design insights for safer, more efficient human-robot teams. Though early in his career, Wieser’s work has already garnered attention for its innovative application of social signaling to industrial settings, laying groundwork for future studies on non-verbal robot communication. His research promises to reshape how we integrate robots into shared workspaces, prioritizing intuitive interaction over complex programming.