Dimensions of personality: 16, 5 or 3?—Criteria for a taxonomic paradigm

Eysenck, H. J.

doi:10.1016/0191-8869(91)90144-z

Cited by 690 publications

(432 citation statements)

References 78 publications

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“…These 24 strengths are classified into six broader categories, namely autonomy, environmental mastery, personal growth, positive relations, purpose in life, and self-acceptance ( Figure 1 portrays the classification of the character strengths). According to Eysenck (1991), character traits are universally recognised and grounded in biology-as part of an evolutionary process that selects for 'moral excellence' as a means of solving important tasks necessary for the survival of the species.…”

Section: Personality Traits Associated With Subjective Wellbeing and mentioning

confidence: 99%

Explorations of subjective wellbeing and character strengths among a Greek University student sample

Leontopoulou¹,

Triliva²

2012

Intnl. J. Wellbeing

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Abstract:The present study brought together and examined two related, but distinct, concepts rooted in positive psychology, namely subjective wellbeing (SWB) and character strengths. It sought to assess the impact of a number of demographic and other sociological and psychological factors, including physical and mental health, on emerging adults' outlook on life. This study also set out to validate and investigate the levels of wellbeing and character strengths in the context of a more collective, Mediterranean culture; that of Greece. Three hundred and twelve male and female students from two Greek Universities participated in the study, which consisted of a questionnaire battery, including measures of subjective wellbeing, character strengths and mental and physical health. Youths were found to have a positive outlook on life. Wisdom, courage and transcendence appeared to be the most salient among their character strengths, since character strengths were each highly and positively correlated with the wellbeing subscales of environmental mastery, purpose in life and self-acceptance. Good physical and mental health were positively related to, and reliably predicted different aspects of, both wellbeing and character strengths; nevertheless, mental health appeared to affect and predict more aspects of wellbeing and character strengths than physical health. The significance of the above findings for the field of positive psychology is discussed.

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Section: Personality Traits Associated With Subjective Wellbeing and mentioning

confidence: 99%

Explorations of subjective wellbeing and character strengths among a Greek University student sample

Leontopoulou¹,

Triliva²

2012

Intnl. J. Wellbeing

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“…that the most relevant individual differences are encoded into the language, and the more important the difference, the more likely it is to be expressed as a single word. Despite some known limits (Eysenck, 1991;Paunonen & Jackson, 2000), over the last 50 years the Big Five model has become a standard in psychology and experiments using the Big Five have shown that personality traits influence many aspects of task-related individual behaviour. For example, the success of most interpersonal tasks depends on the personalities of the participants, and personality traits influence leadership ability (Hogan, Curphy, & Hogan, 1994), general job performance (Furnham, Jackson, & Miller, 1999), attitude toward machines (Sigurdsson, 1991), sales ability , teacher effectiveness (Rushton, Murray, & Erdle, 1987), and academic ability and motivation (Furnham & Mitchell, 1991;Komarraju & Karau, 2005).…”

Section: Introductionmentioning

confidence: 99%

Using Linguistic Cues for the Automatic Recognition of Personality in Conversation and Text

Mairesse¹,

Walker²,

Mehl³

et al. 2007

jair

746

583

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It is well known that utterances convey a great deal of information about the speaker in addition to their semantic content. One such type of information consists of cues to the speaker's personality traits, the most fundamental dimension of variation between humans. Recent work explores the automatic detection of other types of pragmatic variation in text and conversation, such as emotion, deception, speaker charisma, dominance, point of view, subjectivity, opinion and sentiment. Personality affects these other aspects of linguistic production, and thus personality recognition may be useful for these tasks, in addition to many other potential applications. However, to date, there is little work on the automatic recognition of personality traits. This article reports experimental results for recognition of all Big Five personality traits, in both conversation and text, utilising both self and observer ratings of personality. While other work reports classification results, we experiment with classification, regression and ranking models. For each model, we analyse the effect of different feature sets on accuracy. Results show that for some traits, any type of statistical model performs significantly better than the baseline, but ranking models perform best overall. We also present an experiment suggesting that ranking models are more accurate than multi-class classifiers for modelling personality. In addition, recognition models trained on observed personality perform better than models trained using selfreports, and the optimal feature set depends on the personality trait. A qualitative analysis of the learned models confirms previous findings linking language and personality, while revealing many new linguistic markers.

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“…The Eysenck model of personality (3 model factor -PEN) [9], the Five-factor model of personality (Big5) [19] (extraversion-introversion, neuroticism, agreeableness, conscientiousness, and openness) and the Myers-Briggs model [21] (extraversion-introversion, sensation-intuition, thinking-feeling, and judging-perceiving) are the most used and dominant models in the literature. In this work, we use the biologically-based Eysenck [11] Model of Personality (PEN) that advocates three major dimensions or super-factors in the description of personality: (P) Psychoticism, (E) Extroversion, and (N) Neuroticism. The extroversion vs. introversion dimension is related to the social interest and positive affect.…”

Section: Eysenck Model Of Personalitymentioning

confidence: 99%

“…2. Is there a relationship between the extroversion-introversion personality spectrum based on the Eysenck model [11] and the challenge-based vs. nurturing style of patient encouragement?…”

Section: Introductionmentioning

confidence: 99%

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User Personality Matching with a Hands-Off Robot for Post-stroke Rehabilitation Therapy

Tapus

Matarić

Experimental Robotics

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Abstract. This paper describes a hands-off therapist robot that monitors, assists, encourages, and socially interacts with post-stroke users engaged in rehabilitation exercises. We investigate the role of the robot's personality in the hands-off therapy process, focusing on the relationship between the level of extroversion-introversion of the robot and the user. The experiments map the extraversion-introversion personality dimension and the spectrum of therapy styles that range from challenging to nurturing. The experimental results provide first evidence for the preference of personality matching in the assistive domain.

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Dimensions of personality: 16, 5 or 3?—Criteria for a taxonomic paradigm

Cited by 690 publications

References 78 publications

Explorations of subjective wellbeing and character strengths among a Greek University student sample

Explorations of subjective wellbeing and character strengths among a Greek University student sample

Using Linguistic Cues for the Automatic Recognition of Personality in Conversation and Text

User Personality Matching with a Hands-Off Robot for Post-stroke Rehabilitation Therapy

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