Yuta Jose
Papers
1
Total Citations
3
H-Index
1
About
Yuta Jose is a researcher whose work explores the intersection of human-robot interaction and healthcare technology, with a particular focus on medication adherence and self-medication support systems. His most cited paper, "Impression Difference Between Intelligent Medicine Case and Small Service Robot in Self-Medication Support Situations" (2013), investigates how different technological embodiments—from smart medicine cases to small service robots—influence user motivation and engagement in taking medications correctly. This foundational study addresses a critical challenge in healthcare: preventing medication errors such as missed doses, which can have serious consequences for patient outcomes. By comparing user impressions of these assistive technologies, Jose's research provides valuable insights into designing systems that not only remind patients to take their medicine but also sustain their long-term motivation. With 3 citations, this work has contributed to the growing field of socially assistive robotics and intelligent health interfaces. Jose's contributions are particularly relevant for researchers developing patient-centered technologies that blend functionality with emotional engagement, offering a human-centered approach to improving medication management and overall health compliance.
Research Focus
Key Achievements
Top Papers
- 1