Jennifer Pomp
Papers
1
Total Citations
6
H-Index
1
About
Jennifer Pomp is a cognitive scientist whose research lies at the intersection of social perception, action prediction, and spatial cognition. Her work investigates how humans anticipate others’ actions using minimal visual and spatial cues, a fundamental skill for successful social interaction. In her most-cited paper, “Using enriched semantic event chains to model human action prediction based on (minimal) spatial information” (2020, 6 citations), Pomp and her colleagues developed a computational framework to disentangle the roles of objects, movements, context, and identity in action anticipation. This contribution advances our understanding of how the brain leverages sparse sensory input to generate rich predictions about others’ behavior. Pomp’s research has implications for social robotics, human-computer interaction, and clinical populations with social cognition deficits. Her work is notable for bridging computational modeling with empirical cognitive science, offering a structured approach to studying the dynamic, real-time processes underlying social perception. Through her innovative use of semantic event chains, Pomp has provided a powerful tool for parsing the complex interplay of cues that enable humans to navigate social environments with remarkable efficiency.
Research Focus
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Top Papers
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