Intelligence and Personality

2020 ◽  
Vol 41 (3) ◽  
pp. 124-132
Author(s):  
Marc-André Bédard ◽  
Yann Le Corff

Abstract. This replication and extension of DeYoung, Quilty, Peterson, and Gray’s (2014) study aimed to assess the unique variance of each of the 10 aspects of the Big Five personality traits ( DeYoung, Quilty, & Peterson, 2007 ) associated with intelligence and its dimensions. Personality aspects and intelligence were assessed in a sample of French-Canadian adults from real-life assessment settings ( n = 213). Results showed that the Intellect aspect was independently associated with g, verbal, and nonverbal intelligence while its counterpart Openness was independently related to verbal intelligence only, thus replicating the results of the original study. Independent associations were also found between Withdrawal, Industriousness and Assertiveness aspects and verbal intelligence, as well as between Withdrawal and Politeness aspects and nonverbal intelligence. Possible explanations for these associations are discussed.

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Alexander Kachur ◽  
Evgeny Osin ◽  
Denis Davydov ◽  
Konstantin Shutilov ◽  
Alexey Novokshonov

2016 ◽  
Vol 29 ◽  
pp. 02044
Author(s):  
Irina Voronina ◽  
Alexander Fenin ◽  
Tamara Malykh ◽  
Alexandra Belova

2020 ◽  
Author(s):  
Alexander Kachur ◽  
Evgeny Osin ◽  
Denis Davydov ◽  
Konstantin Shutilov ◽  
Alexey Novokshonov

There is ample evidence that a human face provides signals of human personality and behaviour. Previous studies have found associations between the features of artificial composite facial images and attributions of personality traits by human experts. We present new findings demonstrating the statistically significant prediction of a wider set of personality features (all the Big Five personality traits) for both men and women using real-life static facial images. Volunteer participants (N = 12,447) provided their face photographs (31,367 images) and completed a self-report measure of the Big Five traits. We trained a cascade of artificial neural networks (ANNs) on a large labelled dataset to predict self-reported Big Five scores. The highest correlations were found for conscientiousness (.360 for men and .335 for women), exceeding the results obtained in prior studies. The findings provide strong support for the hypothesis that it is possible to predict multidimensional personality profiles from static facial images using ANNs trained on large labelled datasets.


2020 ◽  
Author(s):  
Alexander Kachur ◽  
Evgeny Osin ◽  
Denis Davydov ◽  
Konstantin Shutilov ◽  
Alexey Novokshonov

2016 ◽  
Vol 37 (1) ◽  
pp. 49-55 ◽  
Author(s):  
Alberto Dionigi

Abstract. In recent years, both professional and volunteer clowns have become familiar in health settings. The clown represents a peculiar humorist’s character, strictly associated with the performer’s own personality. In this study, the Big Five personality traits (BFI) of 155 Italian clown doctors (130 volunteers and 25 professionals) were compared to published data for the normal population. This study highlighted specific differences between clown doctors and the general population: Clown doctors showed higher agreeableness, conscientiousness, openness, and extraversion, as well as lower neuroticism compared to other people. Moreover, specific differences emerged comparing volunteers and professionals: Professional clowns showed significantly lower in agreeableness compared to their unpaid colleagues. The results are also discussed with reference to previous studies conducted on groups of humorists. Clowns’ personalities showed some peculiarities that can help to explain the facility for their performances in the health setting and that are different than those of other groups of humorists.


2006 ◽  
Author(s):  
Marcus T. Boccaccini ◽  
John Clark ◽  
Beth A. Caillouet ◽  
William Chaplin

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