Psychology, Experimental Psychology, Mathematical Psychology Social Sciences
Symbol systems have a profound influence on human behavior, spanning countless modalities such as natural language, clothing styles, monetary systems, and gestural conventions (e.g., handshaking). Selective impairments in understanding and manipulating symbols are collectively known as asymbolia. Here we address open questions about the nature of asymbolia in the context of both historical and contemporary approaches to human symbolic cognition. We describe a tripartite perspective on symbolic cognition premised upon (1) mental representation of a concept, (2) a stored pool of symbols segregated from their respective referents, and (3) fast and accurate mapping between concepts and symbols. We present an open-source toolkit for assessing symbolic knowledge premised upon matching animated video depictions of abstract concepts to their corresponding verbal and nonverbal symbols. Animations include simple geometric shapes (e.g., filled circles, squares) moving in semantically meaningful ways. For example, a rectangle bending under the implied weight of a large square denotes "heaviness." We report normative data for matching words and images to these target animations. In a second norming study, participants rated target animations across a range of semantic dimensions (e.g., valence, dominance). In a third study, we normed a set of concepts familiar to American English speakers but lacking verbal labels (e.g., the feeling of a Sunday evening). We describe how these tools may be used to assess human symbolic processing and identify asymbolic deficits across the span of human development.
SymCog: An open-source toolkit for assessing human symbolic cognition
Creators
Maurice Flurie - Temple University
Alexandra Kelly - Drexel University, Psychological and Brain Sciences (Psychology)
Ingrid R. Olson - Temple Univ, Dept Psychol, Philadelphia, PA 19122 USA
Jamie Reilly - Temple University
Publication Details
Behavior research methods, v 55(2), pp 807-823
Publisher
Springer Nature
Number of pages
17
Grant note
R56 MH091113; R21 HD098509 / NIH; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA
R01 DC013063 / National Institutes of Health (NIH); United States Department of Health & Human Services; National Institutes of Health (NIH) - USA
Resource Type
Journal article
Language
English
Academic Unit
Psychological and Brain Sciences (Psychology); Drexel University
Web of Science ID
WOS:000787180500006
Scopus ID
2-s2.0-85128855765
Other Identifier
991021860734804721
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Collaboration types
Domestic collaboration
Web of Science research areas
Psychology, Experimental
Psychology, Mathematical
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