Letizia Aquilino
Papers
2
Total Citations
17
H-Index
2
About
Letizia Aquilino is a researcher at the intersection of human-computer interaction, educational technology, and artificial intelligence. Her work critically examines how people perceive and interact with intelligent systems, with a particular focus on trust, acceptance, and pedagogical applications. In her highly cited 2025 systematic review, "Decoding Trust in Artificial Intelligence," Aquilino provides a comprehensive analysis of quantitative measures for trust in AI, following PRISMA guidelines to map the landscape of related variables—a foundational contribution that has already garnered 11 citations. Her 2023 study, "An Anthropomorphic Robot with ChatGPT for Learning Activities," shifts focus to education, exploring teachers' perspectives on integrating anthropomorphic robots and conversational AI into classrooms. This work underscores her commitment to involving educators in the design process, ensuring that new technologies are both effective and accepted. With a growing citation impact and a clear trajectory toward shaping how AI is deployed in sensitive, human-centered contexts, Aquilino’s research is essential reading for scholars interested in trust dynamics, human-robot interaction, and the responsible integration of AI in learning environments.
Research Focus
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Top Papers
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