Big Five Personality Detection Using Deep Convolutional Neural Networks

Mapping Intimacies ◽

10.20944/preprints202109.0199.v1 ◽

2021 ◽

Author(s):

Waiel Tinwala ◽

Shristi Rauniyar

Keyword(s):

Big Five ◽

Factor Model ◽

Five Factor Model ◽

Ocean Model ◽

Big Five Personality ◽

Unconscious Bias ◽

Deep Convolutional Neural Networks ◽

Convolutional Network ◽

Critical Feature ◽

Big Five Model

Personality is the most critical feature that tells us about an individual. It is the collection of the individual’s thoughts, opinions, emotions and more. Personality detection is an emerging field in research and Deep Learning models have only recently started being developed. There is a need for a larger dataset that is unbiased as the current dataset that is used is in the form of questionnaires that the individuals themselves answer, hence increasing the chance of unconscious bias. We have used the famous stream-of-consciousness essays collated by James Pennbaker and Laura King. We have used the Big Five Model often known as the five-factor model or OCEAN model. Document-level feature extraction has been performed using Google’s word2vec embeddings and Mairesse features. The processed data has been fed into a deep convolutional network and a binary classifier has been used to classify the presence or absence of the personality trait. Hold- out method has been used to evaluate the model, and the F1 score has been used as the performance metric.

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Linking the Big Five personality constructs to organizational justice

Social Behavior and Personality An International Journal ◽

10.2224/sbp.2009.37.2.209 ◽

2009 ◽

Vol 37 (2) ◽

pp. 209-222 ◽

Cited By ~ 27

Author(s):

Junqi Shi ◽

Han Lin ◽

Lei Wang ◽

Mo Wang

Keyword(s):

Procedural Justice ◽

Personality Traits ◽

Organizational Justice ◽

Big Five ◽

Factor Model ◽

Five Factor Model ◽

Big Five Personality ◽

Field Sample ◽

Informational Justice ◽

Practical Implications

Although extensive research has been conducted to investigate various factors related to organizational justice, few studies have examined the link between personality traits and organizational justice. Using a field sample, we explored the relationships between the five-factor model of personality and organizational justice. Results indicated that agreeableness and neuroticism were important correlates of organizational justice. Specifically, agreeableness was found to be positively related to all four organizational justice components proposed by Colquitt (2001). Neuroticism was found to be negatively related to procedural justice and informational justice. Theoretical and practical implications of the results are discussed.

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Thinking styles and the five‐factor model of personality

European Journal of Personality ◽

10.1002/per.429 ◽

2001 ◽

Vol 15 (6) ◽

pp. 465-476 ◽

Cited By ~ 51

Author(s):

Li‐fang Zhang ◽

Jiafen Huang

Keyword(s):

Big Five ◽

Factor Model ◽

Five Factor Model ◽

Mainland China ◽

Specific Pattern ◽

Thinking Styles ◽

Big Five Personality ◽

Personality Dimensions ◽

Complex Thinking ◽

Neo Five Factor Inventory

The primary aim of this study was to investigate the relationships between thinking styles and the big five personality dimensions. Four hundred and eight (149 males, 259 females) university students from Shanghai, mainland China, responded to the Thinking Styles Inventory and the NEO Five‐Factor Inventory. It was found that thinking styles and personality dimensions overlap to a degree. As predicted, the more creativity‐generating and more complex thinking styles were related to the extraversion and openness personality dimensions, and the more norm‐favouring and simplistic thinking styles were related to neuroticism. No specific pattern was identified in the relationships of thinking styles to the agreeableness and conscientiousness dimensions. Copyright © 2001 John Wiley & Sons, Ltd.

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Open to experience—closed to intelligence: Why the ‘Big Five’ are really the ‘Comprehensive Six’

European Journal of Personality ◽

10.1002/per.2410080407 ◽

1994 ◽

Vol 8 (4) ◽

pp. 299-310 ◽

Cited By ~ 53

Author(s):

Chris R. Brand

Keyword(s):

Big Five ◽

Factor Model ◽

Adam Smith ◽

Five Factor Model ◽

Normal Population ◽

Cognitive Domain ◽

Big Five Personality ◽

Track Record ◽

Fifth Dimension ◽

Questionnaire Studies

The quasi‐consensual ‘Big Five’ personality variables of the Five Factor Model (FFM) have typically been advanced and welcomed as dimensions that are purely orectic. By contrast, people's differences in general intelligence (g) are held to exist in some separate, noetic, cognitive ‘domain’. However, the exclusion of g from the realm of personality cannot be sustained either theoretically or empirically. The FFM's ‘fifth’ dimension (whether called Intellect (from lexical studies) or Openness (from questionnaire studies)) would be substantially correlated with g in the general population—across a normal population range of IQ and Mental Age. FFM fifth factors are thus loaded too highly by aesthetic, cultural, and theoretical interests, while qualities of tender‐mindedness, sympathy, and trust are displaced to load on the Agreeableness dimension. FFM Agreeableness thus becomes highly value‐loaded: it literally pits ‘love’, ‘empathy’, and ‘co‐operation’ against ‘aggression’, ‘autonomy’ and ‘competition’. No such simple contrast is viable. Social theorists as varied as Adam Smith, Freud, Adler, and Lorenz have all rejected the option. No fewer than six major, independent dimensions of personality require recognition. These ‘Comprehensive Six’ are (g), neuroticism/emotionality (n), energy/extraversion (e), conscientiousness/control (c), will/independence (w), and affection/pathemia (a). These are essentially the same as those recovered most often in the work of Cattell, so they furnish a six‐dimensional model (SDM) having a long track record of cross‐cultural validation. Several look interpretable in terms of basic Freudian concepts; and, in the terms of folk psychology, the SDM's ‘Comprehensive Six’ might be considered to reflect individual differences in the qualities of the mind (g), the heart (n), the soul (a), the spirit (e), the will (w), and the conscience (c).

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Development and preliminary validation of a Five Factor Model measure of Machiavellianism

10.31234/osf.io/teg8j ◽

2018 ◽

Author(s):

Katherine Collison ◽

Colin Vize ◽

Josh Miller ◽

Donald Lynam

Keyword(s):

Personality Traits ◽

Big Five ◽

Factor Model ◽

Five Factor Model ◽

Big Five Personality Traits ◽

Big Five Personality ◽

Promising Alternative ◽

Preliminary Validation ◽

Expert Ratings

Machiavellianism is characterized by planfulness, the ability to delay gratification, and interpersonal antagonism (i.e., manipulativeness and callousness). Although its theoretically positive relations with facets of conscientiousness should help distinguish Machiavellianism from psychopathy, current measurements of Machiavellianism are indistinguishable from those of psychopathy due mostly to their assessment of low conscientiousness. The goal of the present study was to create a measure of Machiavellianism that is more in line with theory using an expert-derived profile based on the thirty facets of the Five Factor Model (FFM) and then test the validity of that measure by comparing it to relevant constructs. Previously collected expert ratings of the prototypical Machiavellian individual on FFM facets yielded a profile of 13 facets including low agreeableness and high conscientiousness. Items were written to represent each facet, resulting in a 201-item Five Factor Machiavellianism Inventory (FFMI). Across two studies, with a total of 710 participants recruited via MTurk, the FFMI was reduced to its final 52-item form and was shown to relate as expected to measures of Big Five personality traits, current Machiavellianism measures, psychopathy, narcissism, ambition, and impulsivity. The FFMI is a promising alternative Machiavellianism measure.

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An Investigation of Personality Types within the HEXACO Personality Framework

Journal of Individual Differences ◽

10.1027/1614-0001.30.4.181 ◽

2009 ◽

Vol 30 (4) ◽

pp. 181-187 ◽

Cited By ~ 20

Author(s):

Michael C. Ashton ◽

Kibeom Lee

Keyword(s):

Big Five ◽

Factor Model ◽

Five Factor Model ◽

Community Sample ◽

Personality Types ◽

Personality Factors ◽

Big Five Personality ◽

Multivariate Normal ◽

Using Data ◽

Peer Reports

Recent research aimed at identifying distinct personality types has generally searched for such types in the space of the dimensions of the Big Five or Five-Factor model. We extended this search to the space of the HEXACO model of personality structure, using data from a large community sample of adults. In a series of cluster analyses involving 3 to 7 clusters, the proportion of reliable variance in HEXACO dimensions that was accounted for by the types – i.e., clusters – was small, never exceeding that accounted for by clusters generated from random multivariate normal data. The predictive validity of the types and the dimensions was compared with respect to aggregated peer reports on the Big Five personality factors, and results showed that even the largest sets of HEXACO types accounted for only half as much variance as did the HEXACO dimensions. The results provide no evidence of meaningful personality types within the space of the HEXACO framework.

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Linking job performance and big five personality traits of employees in Chandigarh IT sector

Scholarly Research Journal for Humanity Science & English Language ◽

10.21922/srjhsel.v6i26.11443 ◽

2018 ◽

Vol 6 (26) ◽

Author(s):

Neelu Tuteja ◽

P. K. Sharma

Keyword(s):

Job Performance ◽

Personality Traits ◽

Performance Appraisal ◽

Big Five ◽

Factor Model ◽

Five Factor Model ◽

Big Five Personality Traits ◽

Openness To Experience ◽

Measuring Instruments ◽

Big Five Personality

Present study investigates employees fromselectedIT companies in Chandigarh to explore the predictive validity of big five personality traits on their job performance and identify the relationship between personality traits and job performance. The Big Five Personality dimensions, commonly known as five factor model consists of extraversion, agreeableness, conscientiousness, openness to experience and neuroticism. The BFI-Personality Inventory – Revised and self structured Performance Appraisal Questionnaire were used as measuring instruments. A Correlation analysis and Causal Study (Multiple Regression Analysis) was conducted on 404 employees of selected IT companies in Chandigarh to analyzepredictive relationship. Openness to Experience, Agreeableness and Extraversion emerged as significant correlates and predictors of job performance and explained 35.2% of the variance in participants’ management performance.Neuroticism was found to be a negative correlate. On the other hand, Conscientiousness trait had insignificant relation to the model. Theoretical and managerial implications are discussed.

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The Five-Factor Model of Personality and Generalized Self Efficacy

Journal of Individual Differences ◽

10.1027/1614-0001/a000345 ◽

2021 ◽

pp. 1-11

Author(s):

Urszula Barańczuk

Keyword(s):

Personality Traits ◽

Big Five ◽

Self Efficacy ◽

Factor Model ◽

Current Knowledge ◽

Five Factor Model ◽

Meta Analysis ◽

Big Five Personality Traits ◽

Big Five Personality ◽

The Relationship

Abstract. The aim of the study was to evaluate the relation between the Big Five personality traits and generalized self-efficacy. Data for the meta-analysis were collected from 53 studies, which included 60 independent samples, 188 effect sizes, and 28,704 participants. Lower neuroticism and higher extraversion, openness to experience, agreeableness, and conscientiousness were associated with greater generalized self-efficacy. Personality traits and generalized self-efficacy measurements, as well as age, moderated the relationship between the Big Five personality traits and generalized self-efficacy. The study extends current knowledge on the associations between personality traits and generalized self-efficacy.

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Higher-Order Factors of the Big Five Model of Personality: A Reanalysis of Digman (1997)

Psychological Reports ◽

10.2466/pr0.96.1.167-177 ◽

2005 ◽

Vol 96 (1) ◽

pp. 167-177 ◽

Cited By ~ 3

Author(s):

Christopher Mutch

Keyword(s):

Big Five ◽

Factor Model ◽

Higher Order ◽

Big Five Personality ◽

Data Sets ◽

Fit Indices ◽

Correlation Matrices ◽

Big Five Model ◽

Model Fit Indices ◽

Almost All

Based on the results from factor analyses conducted on 14 different data sets, Digman proposed a model of two higher-order factors, or metatraits, that subsumed the Big Five personality traits. In the current article, problems in Digman's analyses were explicated, and more appropriate analyses were then conducted using the same 14 correlation matrices from Digman's study. The resultant two-factor model produced improper solutions, poor model fit indices, or both, in almost all of the 14 data sets and thus raised serious doubts about the veracity of Digman's proposed model.

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Sharing of branded viral advertisements by young consumers: the interplay between personality traits and ad appeal

Journal of Consumer Marketing ◽

10.1108/jcm-11-2017-2428 ◽

2019 ◽

Vol 36 (6) ◽

pp. 846-857 ◽

Cited By ~ 2

Author(s):

Kalpak K. Kulkarni ◽

Arti D. Kalro ◽

Dinesh Sharma

Keyword(s):

Personality Traits ◽

Big Five ◽

Factor Model ◽

Five Factor Model ◽

Big Five Personality Traits ◽

Hierarchical Regression ◽

Big Five Personality ◽

Content Type ◽

Young Consumers ◽

Advertising Appeal

Purpose This study aims to investigate the influence of Big Five Personality traits (i.e. openness to experience, conscientiousness, extraversion, agreeableness and neuroticism) on young consumers’ intentions to share branded viral video advertisements. Further, this study also demonstrates that the advertising appeal (informational versus emotional) used in the viral advertisement moderates the effects of specific personality traits on the sharing of viral ads. Design/methodology/approach A conceptual framework is proposed based on the Five-Factor Model of Personality (McCrae and John, 1992) and advertising effectiveness literature. Using experiments, responses from young consumers were collected and hypotheses were tested using hierarchical regression and ANOVA. Findings Results reveal that the two personality traits, extraversion and openness to experiences, are positively associated with consumers’ viral ad sharing intentions, whereas conscientiousness, agreeableness and neuroticism are not. Moreover, individuals scoring high on openness and extraversion prefer sharing branded viral ads containing informational appeal vis-ã-vis those containing emotional appeals. Originality/value Studies decoding the factors behind the success of viral advertisements have more often focussed on the ad content rather than on personality dimensions of the ad sharers. This study bridges this gap by investigating the influence of Big Five Personality traits on young consumers’ intention to forward viral ads, in interaction with ad appeal. Young consumers represent key audience segments consuming and sharing viral content online, and hence, it is important to have a deeper understanding of this market segment.

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