Dataset Information

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

ABSTRACT: There is ample evidence that morphological and social cues in a human face provide signals of human personality and behaviour. Previous studies have discovered 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 between observed and predicted personality scores were found for conscientiousness (0.360 for men and 0.335 for women) and the mean effect size was 0.243, exceeding the results obtained in prior studies using 'selfies'. The findings strongly support the possibility of predicting multidimensional personality profiles from static facial images using ANNs trained on large labelled datasets. Future research could investigate the relative contribution of morphological features of the face and other characteristics of facial images to predicting personality.

SUBMITTER: Kachur A

PROVIDER: S-EPMC7244587 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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

Kachur Alexander A Osin Evgeny E Davydov Denis D Shutilov Konstantin K Novokshonov Alexey A

Scientific reports 20200522 1

There is ample evidence that morphological and social cues in a human face provide signals of human personality and behaviour. Previous studies have discovered 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 im ...[more]

PMID: 32444847

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Project description:BACKGROUND:Empathy promotes positive physician-patient communication and is associated with improved patient satisfaction, treatment adherence and clinical outcomes. It has been suggested that personality traits should be taken into consideration in programs designed to enhance empathy in medical education due to the association found between personality and empathy among medical students. However, the associations between empathy and big five personality traits in medical education are still underrepresented in the existing literature and relevant studies have not been conducted among medical students in China, where tensions in the physician-patient relationship have been reported as outstanding problems in the context of China's current medical reform. Thus, the main objective of this study was to examine the associations between empathy and big five personality traits among Chinese medical students. METHODS:A cross-sectional study was conducted in a medical university in Northeast China in June 2016. Self-reported questionnaires including the Interpersonal Reactivity Index (IRI) and Big Five Inventory (BFI) and demographic characteristics were distributed. A total of 530 clinical medical students became our final subjects. Hierarchical regression analysis was performed to explore the effects of big five personality traits on empathy. RESULTS:Results of this study showed that big five personality traits accounted for 19.4%, 18.1%, 30.2% of the variance in three dimensions of empathy, namely, perspective taking, empathic concern and personal distress, respectively. Specifically, agreeableness had a strong positive association with empathic concern (? = 0.477, P<0.01), and a moderate association with perspective taking (? = 0.349, P<0.01). Neuroticism was strongly associated with personal distress (? = 0.526, P<0.01) and modestly associated with perspective taking (? = 0.149, P<0.01). Openness to experience had modest associations with perspective taking (? = 0.150, P<0.01) and personal distress (? = -0.160, P<0.01). Conscientiousness had a modest association with perspective taking (? = 0.173, P<0.01). CONCLUSION:This study revealed that big five personality traits were important predictors of self-reported measures of both cognitive and affective empathy among Chinese medical students. Therefore, individualized intervention strategies based on personality traits could be integrated into programs to enhance empathy in medical education.

Dataset Information

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

Publications

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

Similar Datasets

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