Piotr Nawrocki

Papers

Total Citations

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About

Piotr Nawrocki is a researcher at the forefront of human-computer interaction (HCI) and social robotics, specializing in how machines can perceive and respond to human non-verbal cues. His work centers on creating more natural, intuitive interfaces by integrating multimodal signals—particularly eye gaze and facial expressions—into intelligent systems. Nawrocki’s most cited paper (13 citations) introduces a multi-platform architecture that fuses eye-tracking and emotion recognition with contextual data to enable robots to adapt their behavior based on a user’s mood, moving beyond simple command-response interactions. A second influential study (11 citations) provides empirical insights into gaze aversion during mock job interviews, revealing how conversational dynamics shift when eye contact is broken. This work has direct applications in social skills training and automated interview coaching. Nawrocki also developed a framework for detecting gaze direction using both robot-mounted and mobile-device cameras (2 citations), enabling gaze-triggered events in everyday settings. His contributions are particularly notable for bridging the gap between laboratory-based computer vision and real-world, dyadic human-robot interaction, offering practical pathways for building emotionally aware and socially competent AI systems.