Dimosthenis Elmas

Papers

Total Citations

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About

Dimosthenis Elmas is a researcher at the forefront of using social robotics to tackle one of today’s most pressing public health challenges: childhood obesity. His work centers on developing interactive, robot-based platforms that make health behavior change engaging and accessible for children. Elmas’s key contributions include the design of a social robot system that uses interactive games to promote healthy habits, as well as an innovative proof-of-concept for automated diet tracking—a system that aims to replace cumbersome self-reports with unobtrusive, robot-mediated monitoring. His most cited paper (2022, 17 citations) addresses the heightened risk of obesity during the COVID-19 pandemic, demonstrating the timeliness and relevance of his approach. With additional influential works on prevention and diet tracking (2019, 11 citations; 2020, 8 citations), Elmas is building a compelling body of evidence that social robots can serve as effective, child-friendly tools for long-term health intervention. His research not only advances human-robot interaction but also offers a scalable, engaging solution to a critical global health issue.