Natalia Fernandez Alvarez

Universidad Rey Juan Carlos

Papers

1

Total Citations

23

H-Index

1

About

Natalia Fernandez Alvarez is a leading researcher in human-robot interaction, with a particular focus on the cultural and social dimensions of technology adoption. Her work centers on understanding how different user groups perceive and accept social robots, especially in public and educational settings. Her most-cited study, "Willingness to accept social robots in museums: an exploratory factor analysis according to visitor profile" (2021, 23 citations), is a landmark contribution to the field. This paper pioneered a nuanced, visitor-centric approach to robot design, revealing that acceptance is not universal but shaped by age, gender, education, and occupation. By identifying distinct factors influencing different demographic profiles, Fernandez Alvarez provided actionable insights for deploying robots in culturally sensitive environments like museums. Her research bridges robotics, psychology, and museum studies, offering a framework that has informed subsequent user studies and design guidelines. With her work cited in emerging literature on social robotics and user experience, she is recognized for advancing inclusive, context-aware human-robot interaction. Fernandez Alvarez’s contributions are essential for researchers and practitioners aiming to integrate robots into everyday social spaces responsibly.

Research Focus

Key Achievements

1
H-Index
1
Papers
23
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Willingness to accept social robots in museums: an exploratory factor analysis according to visitor profile
23 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Universidad Rey Juan Carlos

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago