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Author ORCID Identifier
First Advisor Department
Department of Psychological and Brain Sciences
Carole Folt Research Scholarship Award
The goal of this project is to investigate the relationship between fluid intelligence and visual working memory capacity. Fluid intelligence refers to the ability to solve abstract problems and is one of the most important constructs in psychological research. Interestingly, visual working memory– the limited ability to hold visual information in an active state for short periods of time– has been shown to strongly correlate with measures of fluid intelligence. However, the mechanisms underlying this relation are still unclear. My research investigates how broad the relationship between working memory capacity and intelligence measures are, and whether it generalizes to more naturalistic tasks. Specifically, recent research has shown that working memory capacity is increased when remembering real-world objects relative to simple visual features (i.e., colored squares or oriented lines) that have been traditionally used. I propose to test whether the capacity to remember these real-world objects also correlates with measures of fluid intelligence. The findings from this study have important implications for how fluid intelligence measures relate to different working memory tasks, and in particular to how we use working memory in more naturalistic settings: when we are trying to remember real-world objects, and not just simple geometric shapes.
Visual Working Memory, Fluid Intelligence, Award
Dartmouth Digital Commons Citation
Shlipak, Kaira Kuo; Chung, Yong Hoon; and Stoermer, Viola, "The Relationship Between Visual Working Memory and Fluid Intelligence" (2023). Wetterhahn Science Symposium Posters 2023. 14.
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