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About

Meriam Moujahid is a researcher specializing in human-robot interaction, social robotics, and conversational AI, with a particular focus on trust, personality, and multi-party engagement in real-world robotic deployments. Her work addresses one of the central challenges in modern robotics: designing robots that are not only functionally capable but socially intelligent and perceived as trustworthy by the humans they serve. Among her most influential contributions is her investigation into how robot personality and individual human traits shape trust in interactive settings, garnering 20 citations. Equally notable is her development of a multi-party robot receptionist capable of managing dynamic turn-taking and dialogue when multiple users enter or leave a scene simultaneously, cited 18 times. Her practical demonstrations — including a Robo-Barista and an LLM-powered embodied conversational agent using the Furhat platform — reflect a strong commitment to deploying research in real-world, "in the wild" environments. Her more recent work explores how Theory of Mind and proxemics influence human-robot navigation and spatial behavior, broadening the theoretical foundations of her field. With over 60 cumulative citations across publications from 2022–2023 alone, Moujahid is an emerging voice shaping the future of socially aware, personality-driven robotic systems.