Khaled Kassem
Papers
2
Total Citations
16
H-Index
2
About
Khaled Kassem is a rising researcher at the forefront of human-centered AI and human-robot interaction (HRI), dedicated to making robots intuitive, ethical, and empathetic partners in social settings. His work addresses a critical gap in robotics: how to design interactions that feel natural and trustworthy, particularly through physical modalities. In his highly cited 2024 paper, "Human-centered AI Technologies in Human-robot Interaction for Social Settings" (14 citations), Kassem lays the foundational framework for integrating AI that prioritizes user experience in contexts ranging from healthcare to public spaces. He further advances this vision with "Push Me: Evaluating Usability and User Experience in Nudge-based Human-Robot Interaction through Embedded Force and Torque Sensors" (2 citations), a pioneering study that explores direct physical interaction—a less-charted territory compared to vision or speech interfaces. By leveraging embedded sensors to evaluate nudge-based communication, Kassem demonstrates how subtle, non-verbal cues can enhance collaboration and trust. His research is not only technically innovative but also deeply user-centric, promising to shape how robots coexist with humans in everyday environments. As a young scholar, Kassem’s contributions signal a significant shift toward more tactile, empathetic, and socially aware robotics.
Research Focus
Key Achievements
Top Papers
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