Susanne Fuchs

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About

Susanne Fuchs investigates the intersection of human-robot interaction and cognitive linguistics, focusing on how non-verbal cues—particularly gaze—shape communication dynamics. Her work reveals that gaze aversion, a subtle yet critical conversational signal, influences both human and robot interactions, demonstrating that robots can strategically use gaze cues to manage turn-taking and regulate social intimacy. In her most cited study (2023, 9 citations), Fuchs shows that a robot’s gaze aversion elicits similar responses in humans, underscoring the deep-rooted social expectations we project onto machines. This research bridges robotics and psychology, offering insights for designing more naturalistic AI companions. Additionally, Fuchs explores spatial language in German, examining how animacy and spatial complexity affect speakers’ choice of reference frames (2018, 3 citations). Her contributions advance understanding of embodied cognition and human-robot collaboration, with implications for assistive technologies and social robotics. By blending experimental rigor with interdisciplinary questions, Fuchs illuminates how humans and machines co-construct meaning through subtle behavioral cues.