scholarly journals Assessing the Big Five personality traits using real-life static facial images

2020 ◽  
Author(s):  
Alexander Kachur ◽  
Evgeny Osin ◽  
Denis Davydov ◽  
Konstantin Shutilov ◽  
Alexey Novokshonov
Keyword(s):  
Personality Traits ◽  
Big Five ◽  
Real Life ◽  
Big Five Personality Traits ◽  
Self Report ◽  
Big Five Personality ◽  
Personality Profiles ◽  
Ample Evidence ◽  
New Findings ◽  
Facial Images

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.

scholarly journals Assessing the Big Five personality traits using real-life static facial images

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Alexander Kachur ◽  
Evgeny Osin ◽  
Denis Davydov ◽  
Konstantin Shutilov ◽  
Alexey Novokshonov
Keyword(s):  
Personality Traits ◽  
Big Five ◽  
Real Life ◽  
Big Five Personality Traits ◽  
Big Five Personality ◽  
Facial Images

scholarly journals Assessing the Big Five Personality Traits Using Real-Life Static Facial Images

2020 ◽  
Author(s):  
Alexander Kachur ◽  
Evgeny Osin ◽  
Denis Davydov ◽  
Konstantin Shutilov ◽  
Alexey Novokshonov
Keyword(s):  
Personality Traits ◽  
Big Five ◽  
Real Life ◽  
Big Five Personality Traits ◽  
Big Five Personality ◽  
Facial Images

Intelligence and Personality

2020 ◽  
Vol 41 (3) ◽  
pp. 124-132
Author(s):  
Marc-André Bédard ◽  
Yann Le Corff
Keyword(s):  
Personality Traits ◽  
Big Five ◽  
Real Life ◽  
Big Five Personality Traits ◽  
Original Study ◽  
Life Assessment ◽  
Big Five Personality ◽  
Verbal Intelligence ◽  
Nonverbal Intelligence ◽  
French Canadian

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.

scholarly journals A meta-analysis on individual differences in primary emotional systems and Big Five personality traits

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Davide Marengo ◽  
Kenneth L. Davis ◽  
Gökçe Özkarar Gradwohl ◽  
Christian Montag
Keyword(s):  
Individual Differences ◽  
Personality Traits ◽  
Big Five ◽  
Mammalian Species ◽  
Theoretical Perspective ◽  
Big Five Personality Traits ◽  
Self Report ◽  
Big Five Personality ◽  
Affective Neuroscience ◽  
Emotional Systems

AbstractThe Affective Neuroscience Personality Scales (ANPS) were constructed as a self-report assessment to measure individual differences in Jaak Panksepp’s cross-species primary emotional systems: SEEKING, PLAY, CARE (positive emotions) and FEAR, SADNESS, ANGER (negative emotions). Beginning with the first published work on the ANPS in 2003, individual differences on the ANPS measures of these six primary emotional systems have been consistently linked to Big Five personality traits. From a theoretical perspective, these primary emotional systems arising from subcortical regions, shed light on the nature of the Big Five personality traits from an evolutionary perspective, because each of these primary emotional systems represent a tool for survival endowing mammalian species with inherited behavioral programs to react appropriately to complex environments. The present work revisited 21 available samples where both ANPS and Big Five measures have been administered. Our meta-analytical analysis provides solid evidence that high SEEKING relates to high Openness to Experience, high PLAY to high Extraversion, high CARE/low ANGER to high Agreeableness and high FEAR/SADNESS/ANGER to high Neuroticism. This seems to be true regardless of the ANPS inventory chosen, although much more work is needed in this area. Associations between primary emotional systems and Conscientiousness were in the lower effect size area across all six primary emotions, thereby supporting the idea that Conscientiousness rather seems to be less directly related with the subcortical primary emotions and likely is the most cognitive/cortical personality construct out of the Big Five. In sum, the present work underlines the idea that individual differences in primary emotional systems represent evolutionarily ancient foundations of human personality, given their a) meaningful links to the prominent Big Five model and b) their origins lying in subcortical areas of the human brain.

scholarly journals Big Five Personality Model-based study of death coping self-efficacy in clinical nurses: A cross-sectional survey

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0252430
Author(s):  
Xi Lin ◽  
Xiaoqing Li ◽  
Qing Liu ◽  
Shengwen Shao ◽  
Weilan Xiang
Keyword(s):  
Palliative Care ◽  
Personality Traits ◽  
Big Five ◽  
Self Efficacy ◽  
Big Five Personality Traits ◽  
Big Five Personality ◽  
Personality Profiles ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Clinical Nurses

Background Specific personality traits may affect the ability of nurses to deal with patient death. The relationship between personality and death coping self-efficacy (DCS) has rarely been investigated in the palliative care setting. In this study, we explored the associations between different personality profiles and DCS in clinical nurses from general wards and ICU. Methods A cross-sectional survey of 572 Chinese nurses was conducted between August and September 2020, by way of a self-administered questionnaire. Results Among the Big Five Personality Traits, in nurses the score was highest for conscientiousness and lowest for neuroticism. With regard to DCS, nurses scored highly on the intention of hospice care. The Big Five Personality Traits were found to explain 20.2% of the overall variation in DCS. Openness, agreeableness and conscientiousness were significantly associated with DCS in nurses. Conclusions Nursing managers should pay attention to differences in personality characteristics and provide personalized and targeted nursing education. This should improve nurses’ DCS, enrich their professional development and promote high quality palliative care for patients and their families.

Cognitive Correlates of Personality

2013 ◽  
Vol 34 (2) ◽  
pp. 97-104 ◽  
Author(s):  
Kyle W. Murdock ◽  
Kate B. Oddi ◽  
David J. Bridgett
Keyword(s):  
Executive Functioning ◽  
Personality Traits ◽  
Cognitive Flexibility ◽  
Big Five ◽  
Big Five Personality Traits ◽  
Self Report ◽  
Big Five Personality ◽  
Neuropsychological Measures ◽  
Cognitive Correlates ◽  
Report Measure

Research examining associations between executive functioning (EF) and personality traits has demonstrated promising results; however, examination of associations between Big Five personality traits and EF using an established EF framework has yet to be demonstrated. The present study examines associations between three aspects of EF (i.e., Cognitive Flexibility, Inhibition, and Updating/Monitoring), based upon a well-established EF framework, and Big Five personality traits. Participants (N = 182) completed neuropsychological measures of Cognitive Flexibility, Inhibition, and Updating/Monitoring as well as a self-report measure of personality. Better Updating/Monitoring was associated with lower Neuroticism and higher Openness. Openness was also positively associated with Cognitive Flexibility. These findings suggest that there may be a common underlying cognitive characteristic (i.e., Updating/Monitoring) linked with Neuroticism and Openness. Additional implications of these findings are discussed.

scholarly journals Behavioral Patterns in Smartphone Usage Predict Big Five Personality Traits

2019 ◽  
Author(s):  
Clemens Stachl ◽  
Quay Au ◽  
Ramona Schoedel ◽  
Daniel Buschek ◽  
Sarah Völkel ◽  
...  
Keyword(s):  
Machine Learning ◽  
Individual Differences ◽  
Personality Traits ◽  
Big Five ◽  
Big Five Personality Traits ◽  
Self Report ◽  
Behavioral Data ◽  
Big Five Personality ◽  
Behavioral Patterns ◽  
Smartphone Sensing

The understanding, quantification and evaluation of individual differences in behavior, feelings and thoughts have always been central topics in psychological science. An enormous amount of previous work on individual differences in behavior is exclusively based on data from self-report questionnaires. To date, little is known about how individuals actually differ in their objectively quantifiable behaviors and how differences in these behaviors relate to big five personality traits. Technological advances in mobile computer and sensing technology have now created the possiblity to automatically record large amounts of data about humans' natural behavior. The collection and analysis of these records makes it possible to analyze and quantify behavioral differences at unprecedented scale and efficiency. In this study, we analyzed behavioral data obtained from 743 participants in 30 consecutive days of smartphone sensing (25,347,089 logging-events). We computed variables (15,692) about individual behavior from five semantic categories (communication & social behavior, music listening behavior, app usage behavior, mobility, and general day- & nighttime activity). Using a machine learning approach (random forest, elastic net), we show how these variables can be used to predict self-assessments of the big five personality traits at the factor and facet level. Our results reveal distinct behavioral patterns that proved to be differentially-predictive of big five personality traits. Overall, this paper shows how a combination of rich behavioral data obtained with smartphone sensing and the use of machine learning techniques can help to advance personality research and can inform both practitioners and researchers about the different behavioral patterns of personality.

A modest proposal to link shyness and modesty: Investigating the relation within the framework of Big Five personality traits

2018 ◽  
Author(s):  
Maria Magdalena Kwiatkowska ◽  
Radosław Rogoza
Keyword(s):  
Personality Traits ◽  
Big Five ◽  
Big Five Personality Traits ◽  
Self Report ◽  
Big Five Personality ◽  
Correlated Traits ◽  
Modest Proposal ◽  
Big Five Model

Shyness and modesty are similar constructs, but to date no study has investigated their relationship empirically, hence the goal of this study was to examine this relationship and how shyness and modesty are related to the Big Five model of personality. We administered a set of self-report measures of shyness, modesty and Big Five personality traits to 727 adults in Poland. The results conformed to our expectations, revealing that shyness and modesty are positively correlated traits. Moreover, in regard to Big Five personality traits, both of them were negatively related to extraversion and positively to neuroticism, but only modesty was positively related to agreeableness. Our findings are discussed in light of previous research and theory.

scholarly journals Introverted goalie versus extraverted center? Comprehensive investigation of Big Five personality traits within and between team sports

2021 ◽  
Author(s):  
Sophia Terwiel ◽  
Sarah Kritzler
Keyword(s):  
Personality Traits ◽  
Big Five ◽  
Online Survey ◽  
Team Sports ◽  
Big Five Personality Traits ◽  
Big Five Personality ◽  
Personality Profiles ◽  
Comprehensive Investigation ◽  
Personality Differences ◽  
Big Five Traits

ObjectivesIn team sports, many anecdotes and stereotypes report personality differences between athletes of different playing positions. However, by now research shows ambiguous results and often only single sports have been examined. This preregistered study, thus, represents a first comprehensive investigation of differences in personality traits of athletes (1) performing different team sports, (2) being offense players and defense players, as well as (3) playing on different positions. DesignIn an online survey, we assessed self-reported Big Five personality traits for 2,322 athletes of 16 different (popular – e.g. Basketball and less-known – e.g. Quidditch) team sports using the BFI-2-S (Soto & John, 2017). Further, we assessed their role in the offense and defense phases of a game, their specific playing position as well as demographic and sport-related information.MethodWe descriptively and statistically investigated differences between personality profiles of different team sports, between offense and defense players within sports, and between playing positions within sports. Additionally, we compared different approaches to assessing offense and defense positions. ResultsAthletes playing different team sports significantly differed in the personality traits Extraversion, Conscientiousness, and Openness. However, these effects were small (η2 ranging from .01 to .02). Similarly, offense players were found to be significantly more extraverted than defense players, but the effect was again small (ηp2 = .003). Athletes playing offense and defense positions did not significantly differ in any other personality traits regardless of how we operationalized offense and defense. However, we demonstrated that not all playing positions may be easily categorized into offense and defense. Finally, athletes of different playing positions did not differ significantly in their personality traits. As the only exception, Floorball centers were significantly more extraverted than Floorball defenders explaining only about 5% of the variance in trait extraversion scores.ConclusionOur comprehensive investigation demonstrates that there is only a little evidence for differences in Big Five traits for athletes of different team sports and between athletes being offense or defense players, or athletes playing on different playing positions. Thus, ascribed personality differences might indeed just be reflecting stereotypes.

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