Matan Eshed
Papers
1
Total Citations
5
H-Index
1
About
Matan Eshed is a researcher whose work lies at the intersection of social robotics, human-robot interaction, and cognitive science. His research focuses on understanding how people gather and process social information during dynamic interactions, and how social robots can be used as tools to study these complex human behaviors. In his most cited work, "Studying Dynamics of Human Information Gathering Behaviors Using Social Robots" (2021), Eshed introduced a novel experimental paradigm that leverages social robots to investigate how individuals adapt and respond to social cues in real-time. This contribution has been recognized with 5 citations, laying important groundwork for future studies on the cognitive mechanisms underlying social information gathering. Eshed's approach is notable for bridging the gap between robotics and psychology, offering a unique methodological framework for exploring the adaptive nature of human social interaction. His work holds promise for informing the design of more intuitive and responsive social robots, as well as deepening our understanding of the fundamental processes that enable fluid social engagement.
Research Focus
Key Achievements
Top Papers
- 1