Samira Sheiki

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About

Samira Sheiki is a leading researcher in Human-Robot Interaction (HRI), with a focus on designing natural, conversational interfaces that bridge the gap between humans and autonomous systems. Her most cited work, "The vernissage corpus: A conversational Human-Robot-Interaction dataset" (2013, 33 citations), introduced a pioneering dataset capturing real-time interactions between humans and a humanoid NAO robot. This corpus is foundational for studying how robots can induce and sustain social behavior in mixed human-robot groups, advancing the field of socially aware robotics. Sheiki’s contributions extend to developing frameworks for robot-mediated communication, emphasizing the role of embodiment and context in fostering engagement. Her research has shaped the design of interactive robots for education, healthcare, and public spaces, with her dataset serving as a benchmark for subsequent studies in conversational HRI. Sheiki’s work is recognized for its methodological rigor and practical impact, earning her citations from interdisciplinary communities in robotics, linguistics, and artificial intelligence. Her achievements highlight a commitment to creating robots that not only perform tasks but also enrich human social experiences, making her a key figure in the evolution of collaborative human-robot societies.