Shari Cavicchi

Papers

Total Citations

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About

Shari Cavicchi is an emerging researcher at the intersection of cognitive science and human-robot interaction, whose work explores how humanoid robots can serve as cognitive offloading tools to alleviate mental strain during complex tasks. Her most-cited paper, “Can humanoid robots be used as a cognitive offloading tool?” (2025), investigates how offloading strategies—commonly used to reduce cognitive load—can be extended to robotic platforms, potentially improving task performance and reducing error rates. Though her citation count is still building, Cavicchi’s research addresses a pressing real-world challenge: the ubiquity of cognitive overload in modern work and learning environments. By examining whether humanoid robots can function as external memory aids or processing supports, she bridges robotics, psychology, and human factors engineering. Her work holds promise for applications in education, assistive technology, and workplace productivity, positioning her as a forward-thinking contributor to the growing field of cognitive offloading. As her research gains traction, Cavicchi is poised to influence how we design robots that not only interact with humans but actively enhance our cognitive capabilities.