Luka Malovan
Papers
1
Total Citations
31
H-Index
1
About
Luka Malovan is a pioneering researcher at the intersection of robotics and clinical psychology, whose work focuses on developing robot-assisted diagnostic protocols for autism spectrum disorders (ASD). His most-cited paper, "Four tasks of a robot-assisted autism spectrum disorder diagnostic protocol: First clinical tests" (2014, 31 citations), addresses the critical challenge of making ASD diagnosis faster and more objective. Malovan recognized that traditional diagnosis relies heavily on clinician expertise—a process that is both slow and subjective—and proposed using humanoid robots to standardize behavioral assessments. His protocol introduces structured, repeatable social tasks that elicit measurable responses from children, potentially reducing diagnostic variability. While his citation count is modest, the work is notable for its early, practical application of robotics in a clinical setting, paving the way for more scalable and accessible diagnostic tools. Malovan’s contributions are particularly significant given the global shortage of trained clinicians and the growing demand for early intervention. His research bridges engineering and medicine, offering a tangible solution to a pressing healthcare problem, and continues to inspire further studies in robot-mediated therapy and assessment.
Research Focus
Key Achievements
Top Papers
- 1