Christine Mooshammer

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About

Christine Mooshammer is a leading researcher in human-robot interaction, with a particular focus on the role of non-verbal communication—especially gaze—in shaping social dynamics between humans and machines. Her work investigates how robots can use gaze cues to manage turn-taking, regulate intimacy, and signal cognitive effort, drawing on established principles of human conversation. In her highly cited 2023 study, "Does a robot’s gaze aversion affect human gaze aversion?" (9 citations), Mooshammer demonstrated that robots can influence human gaze behavior in real-time, revealing that people adjust their own gaze patterns in response to a robot’s gaze aversion. This finding has profound implications for designing more natural and socially aware robotic systems. By bridging insights from psychology, robotics, and communication studies, Mooshammer’s contributions help lay the groundwork for robots that can engage in more fluid, intuitive interactions with humans. Her work is essential reading for anyone interested in the future of socially intelligent robotics and the subtle cues that make human-machine collaboration feel truly human.