Aitor Miguel Blanco
Papers
2
Total Citations
4
H-Index
2
About
Aitor Miguel Blanco investigates the intersection of developmental psychology, human-robot interaction, and education, with a particular focus on how children perceive and engage with artificial agents. His research explores how young users’ beliefs about a robot’s intelligence and sentience shape their learning experiences, as demonstrated in his mixed-methods study on robot reading companions. This work, which has garnered 2 citations, highlights the potential for social robots to serve as effective educational tools when designed with an understanding of children’s cognitive frameworks. In a related study, also cited twice, Blanco examines the interplay between intentional stance beliefs and agent appearance in guiding gaze behavior during joint attention tasks. By using virtual agents to isolate these variables, he reveals how both user expectations and physical design influence social outcomes. Blanco’s contributions are notable for bridging cognitive science and robotics, offering insights that inform the development of more intuitive and socially responsive artificial agents. His work is particularly valuable for researchers and students interested in the cognitive and developmental factors that shape human interactions with emerging technologies.
Research Focus
Key Achievements
Top Papers
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- 2