Stefania Russo

Papers

Total Citations

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About

Stefania Russo is a researcher at the forefront of human-computer interaction (HCI) and soft sensing technologies, with a particular focus on stretchable, tactile interfaces for industrial applications. Her most cited work, "Towards the Development of an EIT-based Stretchable Sensor for Multi-Touch Industrial Human-Computer Interaction Systems" (2016), introduces an innovative approach using Electrical Impedance Tomography (EIT) to create deformable sensors that can detect multi-touch inputs. This contribution is pivotal for advancing intuitive, robust interaction systems in manufacturing and automation environments, where traditional rigid sensors fall short. With 5 citations, this paper has laid foundational groundwork for integrating soft robotics with HCI, enabling safer and more flexible human-machine collaboration. Russo’s research bridges materials science and user interface design, offering scalable solutions for real-world industrial challenges. Her work is particularly notable for its potential to transform how operators interact with machinery, reducing physical strain and improving efficiency. As a rising voice in the field, Russo continues to explore the intersection of smart materials and interactive systems, making her a key figure to watch in the evolution of wearable and industrial sensing technologies.