Juan Manuel Dodero

Papers

1

Total Citations

33

H-Index

1

About

Juan Manuel Dodero is a leading researcher in human-computer interaction and educational technology, with a particular focus on making complex programming accessible to non-experts. His work centers on the design and evaluation of visual programming languages, especially for robotics, where he explores how intuitive interfaces can lower barriers for novice users. His most-cited paper, "A Study on the Suitability of Visual Languages for Non-Expert Robot Programmers" (2019), has garnered 33 citations and provides critical insights into how visual programming environments can empower users without formal coding backgrounds to create and control robotic systems. Dodero’s contributions bridge the gap between technical complexity and user-friendly design, advancing both the theory and practice of end-user programming. His research has implications for education, industry, and inclusive technology development, demonstrating that visual languages can be effective tools for democratizing programming. Through his work, Dodero has helped shape how we think about human-robot interaction and the role of visual interfaces in fostering broader participation in technology creation.

Research Focus

Key Achievements

1
H-Index
1
Papers
33
Total Citations
33
Avg Citations/Paper
🏆 Most Cited Paper
A Study on the Suitability of Visual Languages for Non-Expert Robot Programmers
33 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 22 days ago