Fabiola Diana
Papers
2
Total Citations
19
H-Index
2
About
Fabiola Diana’s research lies at the intersection of human-robot interaction, social cognition, and cross-cultural psychology, with a particular focus on how people perceive and evaluate artificial agents. Her most cited work, “A Cross-Cultural Comparison on Implicit and Explicit Attitudes Towards Artificial Agents” (2022, 17 citations), makes a pivotal contribution by moving beyond self-report measures to examine both explicit and implicit attitudes toward robots and AI across different cultural contexts. This study reveals that cultural background significantly shapes not only what people say about artificial agents but also their automatic, unconscious responses—a finding with profound implications for designing socially acceptable robots for global markets. By addressing the historical confusion in the literature regarding cultural preferences for robot appearance and interaction styles, Diana’s research provides a more nuanced, methodologically rigorous framework for understanding human attitudes toward technology. Her work is essential reading for researchers in human-robot interaction, cross-cultural psychology, and AI ethics, offering empirical evidence that challenges one-size-fits-all approaches to robot design and deployment in an increasingly interconnected world.
Research Focus
Key Achievements
Top Papers
- 1
- 2