Agnieszka Rozanska

Papers

Total Citations

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About

Agnieszka Rozanska is a pioneering researcher at the intersection of human-robot interaction and affective computing, with a focus on making social robots emotionally intelligent. Her work centers on developing systems that enable robots like Pepper to perceive and respond to human emotions in real-time, particularly through multimodal sentiment analysis. In her most cited paper (2019, 14 citations), she introduced an IoT-based external emotion sensor integrating Raspberry Pi, camera, and microphone to capture verbal and non-verbal cues during patient-robot interactions. Her 2018 work (10 citations) advanced this concept by enabling early emotion recognition before a person even approaches a robot, allowing dynamic adjustment of conversation trees to improve interaction flow. Another notable study (2018, 8 citations) explored user experience during eye contact with Pepper, revealing critical insights into how gaze behavior shapes human comfort and engagement. Rozanska’s contributions are foundational for creating more empathetic, responsive social robots in healthcare and service contexts. Her innovative fusion of embedded systems, emotion recognition, and user experience design positions her as a key voice in building machines that truly understand us.