John M. McNamara

Papers

Total Citations

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About

John M. McNamara is a pioneering researcher at the intersection of cognitive science, human-robot interaction, and cloud computing. His work focuses on developing and evaluating robotic systems for automatic cognitive assessment, leveraging social robots like Pepper and cloud-based AI platforms such as IBM Watson. McNamara’s major contribution lies in demonstrating how multimodal human-robot interfaces can streamline cognitive testing, making assessments more scalable and accessible. His most cited paper, “Assessment of Cognitive Skills via Human-Robot Interaction and Cloud Computing” (2019, 38 citations), introduces a framework that integrates robotic interaction with cloud AI to evaluate cognitive functions. A follow-up study, “Usability Evaluation of a Robotic System for Cognitive Testing” (2019, 25 citations), provides critical insights into user experience, showing that 36 participants could operate the system independently with high usability scores. Another notable work, “IBM Cloud Services Enhance Automatic Cognitive Assessment via Human-Robot Interaction” (2018, 17 citations), further validates the role of cloud services in improving assessment accuracy. McNamara’s research has significant implications for aging populations and clinical diagnostics, offering a path toward automated, objective cognitive screening. His work is widely cited in robotics and healthcare AI communities, underscoring its impact on both technology development and practical application.