Sebastian Feller

Papers

Total Citations

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About

Sebastian Feller investigates the intersection of human-robot interaction, educational technology, and social cognition, with a focus on how social cues in robotic systems affect learning and behavior. His most-cited work, "Robot watchfulness hinders learning performance" (2015, 28 citations), challenges the assumption that social cues always enhance educational outcomes. Feller demonstrates that a robot’s watchful presence can actually impair learning performance, revealing a nuanced cost to social interaction in automated environments. This contribution has important implications for designing more effective robot tutors and computerized learning systems, urging developers to consider when social cues may be counterproductive. Feller’s research bridges cognitive science and human-robot interaction, offering practical insights for educational technology. His work is cited by scholars exploring the unintended consequences of social robotics, and he continues to shape discussions on how to optimize human-machine collaboration in learning contexts.