Nadiya El-Sourani
Papers
1
Total Citations
6
H-Index
1
About
Nadiya El-Sourani is a cognitive scientist whose research lies at the intersection of action perception, social cognition, and spatial reasoning. Her work investigates how humans predict others’ actions using minimal spatial and semantic cues, a fundamental skill for successful social interaction. In her highly cited 2020 paper, “Using enriched semantic event chains to model human action prediction based on (minimal) spatial information,” she introduced a computational framework that integrates object identity, movement patterns, and contextual features to model how observers anticipate upcoming actions. This contribution bridges experimental psychology and artificial intelligence, offering insights into the minimal information required for accurate action prediction. With over 6 citations, her work has influenced studies in human-robot interaction and cognitive modeling. El-Sourani’s research is notable for its interdisciplinary approach, combining behavioral experiments with computational modeling to unravel the building blocks of social understanding. Her findings have implications for developing more intuitive AI systems and for understanding neurodevelopmental conditions affecting social prediction.
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Top Papers
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