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Erschienen in: Cognitive Processing 1/2020

22.11.2019 | Research Article

The effects of autistic traits and academic degree on visuospatial abilities

verfasst von: Massimiliano Conson, Vincenzo Paolo Senese, Chiara Baiano, Isa Zappullo, Varun Warrier, Sara Salzano, Monica Positano, Simon Baron-Cohen, The UNICAMPSY17 group

Erschienen in: Cognitive Processing | Ausgabe 1/2020

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Abstract

In the present study, we were interested to investigate how autistic traits (including systemizing and empathy) and academic degree influence individuals’ visuospatial abilities. To this end, 352 university students completed the Autism Spectrum Quotient (AQ), the Empathy Quotient, the Systemizing Quotient (SQ) and visuospatial tests measuring figure disembedding and mental rotation of two-dimensional figures. Engineering-design students (architecture and engineering) were the most accurate in disembedding and mentally rotating figures, followed by students of physical sciences (computer science, chemistry, physics, etc.) and fact-based humanities (languages, classics, law); biological (psychology and neuroscience, etc.) and systems-based social scientists (economics and commerce) were the least accurate. Engineering-design students also showed higher SQ scores with respect to the other four academic degree subjects, with students of biological sciences showing lower SQ scores. Importantly, results from a path analysis revealed that SQ (but not AQ) exerted an indirect effect on figure disembedding and mental rotations through the influence of the academic degree. Thus, the present findings reveal shady differences in systemizing degree and visuospatial performance within systemizing-based degree subjects. Implications for education are discussed.

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Metadaten
Titel
The effects of autistic traits and academic degree on visuospatial abilities
verfasst von
Massimiliano Conson
Vincenzo Paolo Senese
Chiara Baiano
Isa Zappullo
Varun Warrier
Sara Salzano
Monica Positano
Simon Baron-Cohen
The UNICAMPSY17 group
Publikationsdatum
22.11.2019
Verlag
Springer Berlin Heidelberg
Erschienen in
Cognitive Processing / Ausgabe 1/2020
Print ISSN: 1612-4782
Elektronische ISSN: 1612-4790
DOI
https://doi.org/10.1007/s10339-019-00941-y

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