Leonor Fermoselle

Papers

Total Citations

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About

Leonor Fermoselle is a pioneering researcher at the intersection of human-robot interaction (HRI) and multimodal communication, with a focus on making robotic systems more intuitive and perceptually rich. Her work centers on responsive joint attention—a cornerstone of natural interaction—where she has demonstrated that robots can use gaze behavior and multimodal cues to enhance cooperation, resolve ambiguity, and create more familiar interactions. Her most cited paper, "Responsive Joint Attention in Human-Robot Interaction" (2019, 22 citations), established foundational insights into how joint attention mechanisms improve efficiency and naturalness in collaborative tasks. She extended this work in "Effects of Different Interaction Contexts when Evaluating Gaze Models in HRI" (2020, 14 citations), showing that context significantly shapes user perception of robot gaze. Pushing boundaries further, Fermoselle explores sensory augmentation in teleoperation, as seen in "Grasping Temperature: Thermal Feedback in VR Robot Teleoperation" (2022, 6 citations), where she integrates thermal feedback into virtual reality systems—a proof-of-concept that adds a tactile dimension to remote control. Her contributions are vital for designing robots that communicate seamlessly with humans, blending social cognition with cutting-edge sensor technology.