Mario Navarro-Estrella
Papers
1
Total Citations
2
H-Index
1
About
Mario Navarro-Estrella is a researcher at the intersection of human-robot interaction and design education, with a focus on how users perceive and evaluate robotic systems. His work bridges cognitive science and engineering, employing innovative methodologies such as eye-tracking and semantic association analysis to assess robot design from the user’s perspective. In his most cited study, “Assessment of a Robot Design: A novel Methodology using Eye-tracking and Semantic Associations Among undergraduate students´ contexts,” he demonstrates how product design curricula can be enriched by understanding how future professionals—particularly in medical and nursing fields—visually and cognitively engage with robots intended to support patients’ physiological and emotional well-being. Though early in his career, with his top paper accumulating 2 citations, Navarro-Estrella’s contribution lies in pioneering a replicable, human-centered framework for evaluating robot aesthetics and functionality. His work is notable for integrating real-time biometric data with qualitative semantic feedback, offering a practical tool for educators and designers. As robotics becomes ubiquitous in healthcare, his methodology provides a critical lens for training designers to create empathetic, effective robotic companions.
Research Focus
Key Achievements
Top Papers
- 1