ArticleScientific reports2020
Assessing the Big Five personality traits using real-life static facial images.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- What Narcissists Look Like and Why It's Important.Personality & social psychology bulletin · 2026Article
- Speech-based personality prediction using deep learning with acoustic and linguistic embeddings.Scientific reports · 2024Article
- The reanimation of pseudoscience in machine learning and its ethical repercussions.Patterns (New York, N.Y.) · 2024Review
- Personality of organizational social media accounts and its relationship with characteristics of their photos: analyses of startups' Instagram photos.BMC psychology · 2024Article
- Artificial intelligence and social intelligence: preliminary comparison study between AI models and psychologists.Frontiers in psychology · 2024Article
- Article
- Py-Feat: Python Facial Expression Analysis Toolbox.Affective science · 2023Article
- Facial Expression of TIPI Personality and CHMP-Tri Psychopathy Traits in Chimpanzees (Pan troglodytes) : Evidence for Honest Signalling?Human nature (Hawthorne, N.Y.) · 2023Article
- Unravelling the many facets of human cooperation in an experimental study.Scientific reports · 2023Article
- Using deep learning to predict ideology from facial photographs: expressions, beauty, and extra-facial information.Scientific reports · 2023Article
- Case report: binaural beats music assessment experiment.Frontiers in human neuroscience · 2023Article
- Acoustic correlates of perceived personality from Korean utterances in a formal communicative setting.PloS one · 2023Article
- Supporting Artificial Social Intelligence With Theory of Mind.Frontiers in artificial intelligence · 2022Review
- Article
- Educational Psychology Analysis Method for Extracting Students' Facial Information Based on Image Big Data.Occupational therapy international · 2022Article
- Mental states and personality based on real-time physical activity and facial expression recognition.Frontiers in psychiatry · 2022Article
- Facial recognition technology can expose political orientation from naturalistic facial images.Scientific reports · 2021Article
- Chronotype and Time of Day Effects on a Famous Face Recognition Task with Dynamic Stimuli.International journal of psychological researchArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.