Alessandro Soranzo

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About

Alessandro Soranzo is a leading researcher at the intersection of cognitive science, human-robot interaction, and cloud-based artificial intelligence. His work focuses on developing and evaluating novel robotic systems for automatic cognitive assessment, leveraging social robots like Pepper and cloud AI platforms such as IBM Watson. Soranzo’s major contributions include pioneering a framework that integrates multimodal robotic interfaces with cloud computing to administer cognitive tests autonomously. His most-cited paper, “Assessment of Cognitive skills via Human-robot Interaction and Cloud Computing” (2019, 38 citations), demonstrates the feasibility of this approach, while his usability evaluation (2019, 25 citations) provides critical insights into user experience and system design. By showing that non-expert users can interact effectively with such systems, Soranzo has advanced the goal of scalable, accessible cognitive screening. His work, including “IBM Cloud Services Enhance Automatic Cognitive Assessment via Human-Robot Interaction” (2018, 17 citations), highlights the transformative potential of combining robotics and cloud AI for healthcare. Soranzo’s research is vital for developing tools that could revolutionize early detection of cognitive decline, making assessment more efficient and widely available.