Xenia Daniela Poslon
Papers
1
Total Citations
3
H-Index
1
About
Xenia Daniela Poslon investigates the intersection of human-robot interaction, cognitive science, and visual communication, with a particular focus on how social dynamics shape our representational strategies. Her most cited work, "Sketch it for the Robot! How Child-Like Robots' Joint Attention Affects Humans' Drawing Strategies" (2024), explores a novel question: how does the perceived social presence of a robot influence the way people draw? In a study with 53 adult participants, Poslon found that when instructed to draw objects for a child-like robot exhibiting joint attention behaviors, humans adapted their drawing strategies—simplifying forms, emphasizing clarity, and adjusting detail—to facilitate the robot's understanding. This research bridges socio-cognitive mechanisms and visual representation, offering insights into how we intuitively tailor communication for artificial agents. While still early in her career, with 3 citations to date, Poslon's work is gaining traction for its innovative approach to studying the cognitive underpinnings of human-robot collaboration. Her findings have implications for designing more intuitive interfaces and understanding the bidirectional nature of social interaction with technology.
Research Focus
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Top Papers
- 1