Papers
13
Total Citations
137
H-Index
6
About
Marwen Belkaid is a cognitive robotics and human-robot interaction researcher whose work sits at the compelling intersection of emotion, cognition, and social behavior in both artificial and biological systems. With a research trajectory spanning over a decade, Belkaid has made significant contributions to understanding how emotional processes can be integrated into autonomous robotic architectures, most notably through the eMODUL model (2018), which proposed a principled framework for embedding emotional modulation within cognitive robot systems. His earlier work explored how emotions such as frustration could drive autonomous self-improvement in robotic navigation, establishing a foundation for affectively grounded machine autonomy. Belkaid's most impactful research has focused on human-robot interaction, particularly how robots influence human social cognition. His 2021 study on mutual gaze with humanoid robots — garnering 50 citations — demonstrated that robot eye contact measurably affects human neural activity and decision-making, a landmark finding bridging neuroscience and robotics. Subsequent work on trust, feedback gestures, and the intentional stance further reveals how human-likeness shapes our psychological responses to artificial agents. Collectively, his publications have accumulated over 130 citations, establishing him as an emerging voice in socially intelligent robotics and the neuroscience of human-machine interaction.
Research Focus
Key Achievements
Top Papers
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- 4Exposure to Robotic Virtual Agent Affects Adoption of Intentional Stance12 citations · 2021
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- 7Exposure to robotic virtual agent affects adoption of intentional stance4 citations · 2021
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