Mateusz Jarosz
Papers
6
Total Citations
48
H-Index
4
About
Mateusz Jarosz is a leading researcher in human-robot interaction, whose work centers on building trust, natural communication, and emotionally aware robotic systems. His most influential study, "On the Role of Trust in Child-Robot Interaction" (2019, 13 citations), demonstrated through an in-the-wild kindergarten study that initial trust is decisive for long-term child-robot relationships. Jarosz further advanced the field by developing a multi-platform intelligent system (2021, 13 citations) that integrates eye gaze, facial expressions, and contextual data to model user emotions and moods, creating more intuitive interactions. His investigation of gaze aversion in mock job interviews (2021, 11 citations) provided critical insights into non-verbal communication dynamics. Notably, Jarosz pioneered the integration of large language models into robotics with his ChatGPT-based control platform for the Pepper humanoid robot (2024, 6 citations), enabling more fluid, engaging conversations. He also introduced Model Predictive Control for personalizing robot behavior (2024, 3 citations), allowing robots to adapt their actions to individual users. With additional work on gaze detection frameworks, Jarosz is shaping the future of socially intelligent robots that understand and respond to human cues.
Research Focus
Key Achievements
Top Papers
- 1On the Role of Trust in Child-Robot Interaction13 citations · 2019
- 2Multi-Platform Intelligent System for Multimodal Human-Computer Interaction13 citations · 2021
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- 6Detecting Gaze Direction Using Robot-Mounted and Mobile-Device Cameras2 citations · 2019