Asenia Giagtzidou
Papers
1
Total Citations
13
H-Index
1
About
Asenia Giagtzidou is a cognitive scientist whose research sits at the intersection of social cognition and human-robot interaction, with a particular focus on how people implicitly perceive and attribute mental states to artificial agents. Her most cited work, "An Implicit, Non-Verbal Measure of Belief Attribution to Robots" (2020, 13 citations), pioneers a novel methodological approach to studying mind perception. Recognizing that traditional verbal surveys are prone to rationalization and often fail to predict actual behavior, Giagtzidou developed a non-verbal, implicit measure to capture spontaneous belief attribution to robots. This contribution is significant because it offers a more ecologically valid tool for probing the automatic, often unconscious, processes underlying human-robot social dynamics. By moving beyond explicit self-reports, her work challenges researchers to reconsider how we measure and interpret social cognition in human-machine interaction. Though early in her career, Giagtzidou’s focus on implicit measures marks a promising step toward understanding the genuine, unvarnished ways people engage with robots, laying a foundation for more nuanced theories of artificial social agency.
Research Focus
Key Achievements
Top Papers
- 1An Implicit, Non-Verbal Measure of Belief Attribution to Robots13 citations · 2020