Predicting openness to experience via a multiplex cognitive network approach

Gal Samuel; Massimo Stella; Roger E. Beaty; Yoed N. Kenett

doi:10.1016/j.jrp.2023.104369

Predicting openness to experience via a multiplex cognitive network approach

Gal Samuel, Massimo Stella, Roger E. Beaty, Yoed N. Kenett

Data and Decision Sciences

Research output: Contribution to journal › Article › peer-review

Abstract

Openness to Experience is most strongly related to aspects of high-level cognition, such as creativity. Yet, the role of cognitive capacities in Openness is still far from understood. We examine how individuals search their memory predicts levels of Openness. Participants (N = 163) had one minute to generate synonyms to the word hot, which operationalizes mental navigation through a multidimensional representation of the mental lexicon – a cognitive multiplex network. We find high accuracy in low- and high- Openness group classification, and good prediction of individual differences in Openness. These results support the use of computational cognitive modelling for the study of personality traits. Further, our results suggest that people high in Openness engage in a distinct style of cognitive search.

Original language	English
Article number	104369
Journal	Journal of Research in Personality
Volume	104
DOIs	https://doi.org/10.1016/j.jrp.2023.104369
State	Published - Jun 2023

Keywords

Classification
Multiplex networks
Openness to experience
Prediction

ASJC Scopus subject areas

Social Psychology
General Psychology

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10.1016/j.jrp.2023.104369

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title = "Predicting openness to experience via a multiplex cognitive network approach",

abstract = "Openness to Experience is most strongly related to aspects of high-level cognition, such as creativity. Yet, the role of cognitive capacities in Openness is still far from understood. We examine how individuals search their memory predicts levels of Openness. Participants (N = 163) had one minute to generate synonyms to the word hot, which operationalizes mental navigation through a multidimensional representation of the mental lexicon – a cognitive multiplex network. We find high accuracy in low- and high- Openness group classification, and good prediction of individual differences in Openness. These results support the use of computational cognitive modelling for the study of personality traits. Further, our results suggest that people high in Openness engage in a distinct style of cognitive search.",

keywords = "Classification, Multiplex networks, Openness to experience, Prediction",

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AB - Openness to Experience is most strongly related to aspects of high-level cognition, such as creativity. Yet, the role of cognitive capacities in Openness is still far from understood. We examine how individuals search their memory predicts levels of Openness. Participants (N = 163) had one minute to generate synonyms to the word hot, which operationalizes mental navigation through a multidimensional representation of the mental lexicon – a cognitive multiplex network. We find high accuracy in low- and high- Openness group classification, and good prediction of individual differences in Openness. These results support the use of computational cognitive modelling for the study of personality traits. Further, our results suggest that people high in Openness engage in a distinct style of cognitive search.

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Predicting openness to experience via a multiplex cognitive network approach

Abstract

Keywords

ASJC Scopus subject areas

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