S de la Rosa

University of Augsburg, Max Planck Society

Papers

Total Citations

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About

Stephanie de la Rosa is a cognitive scientist whose research bridges social perception and motor control, exploring how humans coordinate actions in social and human-robot interactions. Her key contributions center on understanding the visual and cognitive factors that modulate motor behavior during joint action. In her most-cited work, "Visual appearance modulates motor control in social interactions" (2020, 5 citations), she demonstrates that the mere visual appearance of an interaction partner—whether human or robot—influences how individuals plan and execute movements, a finding critical for designing intuitive human-robot interfaces. Her earlier study, "Motor planning and control: Humans interact faster with a human than a robot avatar" (2015, 4 citations), further reveals that motor performance is optimized when interacting with human-like agents, underscoring the role of social cues in action coordination. Though her citation counts are modest, de la Rosa’s work is foundational for the emerging field of socially interactive robotics, providing empirical evidence that natural interaction depends on both visual and motoric alignment. Her research offers valuable insights for students and researchers interested in the intersection of cognitive science, motor control, and human-robot collaboration.