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Artificial intelligence (AI) is able to infer people's personality from 'selfie'. Pixabay

Russian researchers have revealed that artificial intelligence (AI) is able to infer people’s personality from ‘selfie’ photographs better than human raters do. The study, published in the journal Scientific Reports, revealed that personality predictions based on female faces appeared to be more reliable than those for male faces.

The technology can be used to find the ‘best matches’ in customer service, dating or online tutoring, the researchers from HSE University and Open University in Russia, said. Studies asking human raters to make personality judgments based on photographs have produced inconsistent results, suggesting that our judgments are too unreliable to be of any practical importance. According to the study, there are strong theoretical and evolutionary arguments to suggest that some information about personality characteristics, particularly, those essential for social communication, might be conveyed by the human face.


After all, face and behaviour are both shaped by genes and hormones, and social experiences resulting from one’s appearance may affect one’s personality development.

However, the recent evidence from neuroscience suggests that instead of looking at specific facial features, the human brain processes images of faces in a holistic manner.


AI is able to infer people’s personalities from ‘selfie’ photographs better than human raters do. Pixabay

For the findings, the researchers teamed up with a Russian-British business start-up BestFitMe to train a cascade of artificial neural networks to make reliable personality judgments based on photographs of human faces.

The performance of the resulting model was above that discovered in previous studies which used machine learning or human raters.

The artificial intelligence was able to make above-chance judgments about conscientiousness, neuroticism, extraversion, agreeableness, and openness based on ‘selfies’ the volunteers uploaded online.

The resulting personality judgments were consistent across different photographs of the same individuals.

The study was done in a sample of 12,000 volunteers who completed a self-report questionnaire measuring personality traits based on the “Big Five” model and uploaded a total of 31,000 ‘selfies’. The respondents were randomly split into a training and a test group.

A series of neural networks were used to preprocess the images to ensure consistent quality and characteristics and exclude faces with emotional expressions, as well as pictures of celebrities and cats.


Artificial intelligence predicts personality efficiently based on selfies. Pixabay

Next, an image classification neural network was trained to decompose each image into 128 invariant features, followed by a multi-layer perceptron that used image invariants to predict personality traits.

In comparison with the meta-analytic estimates of correlations between self-reported and observer ratings of personality traits, the findings indicate that an artificial neural network relying on static facial images outperforms an average human rater who meets the target in person without prior acquaintance.

Also Read: Indian-American Businessman Urges Trump to Reopen with “common sense precautions”

Conscientiousness emerged to be more easily recognizable than the other four traits. Personality predictions based on female faces appeared to be more reliable than those for male faces, the study said. (IANS)


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It's a very common question to ask: "Who am I?" and it's not an easy question to answer. We might be able to give a definition of ourselves, like professional or student, or that we're introverts or extroverts but this doesn't really represent our true selves. We might also try to describe our best qualities and say that we're kind and smart but again, these qualities only indicate the surface level of who we really are.

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Dia Mirza champions sustainable fashion

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Q: Did you enjoy the on-ground fashion event and the energy that came with the physical show and appearance?
A: Yes absolutely. It was just so refreshing and wonderful to finally be back from a virtual audience. Last year we did a digital show and the energy was just not there, this is an interactive experience and we draw so much from real people.

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Delhi to get new QR-based driving livenses and registration certificates.

In a step towards digitisation of the system, Delhi Transport Department will soon issue QR based Smart cards for driving licenses (DLs) and registration certificates (RCs).

As per a statement, the new driving licence will have an advanced microchip with features like Quick Response (QR) code and Near Field Communication (NFC). The new RC will have the owner's name printed on the front while the microchip and the QR code would be embedded at the back of the card.

The cards earlier had embedded chips, but chip reader machines were not available in the required quantity with both the Delhi Traffic Police and the Enforcement Wing of the Transport Department. Moreover, chips were designed and implemented by the states concerned, which resulted in difficulties in reading the chip and retrieving information, especially in case of defaulters.

"Now with the QR based smart card, this issue is resolved. This will enable unification in linking and validating one's information to smart cards with Sarathi and Vahan, the two web-based databases of all driving licenses and vehicle registrations," the release added.

The QR is also being implemented nationwide, the QR code reader is easily procurable and will do away with the requirement of any manual intervention altogether. The new cards will also allow two specific materials for their card manufacturing -- PolyVinyl Chloride or PVC, or PolyCarbonate which is slightly more expensive but more durable. (Card Size - 85.6mm x 54.02 mm; Thickness minimum 0.7 mm)

An October 2018 notification of the Ministry of Road Transport and Highways (MoRTH) had made changes to the Driving License and Registration Certificate. The new Smart card based DL and RC, will have chip based/ QR code based recognition system. At the same time, documents such as driving license or registration certificates in electronic formats on DigiLockers and mParivahan were also made valid in place of physical documents and treated at par with original documents.

The QR code also has an added advantage of acting as a safety feature on the smart card. The department will be able to retain records and penalties of the DL holder for up to 10 years on the VAHAN database as soon as a driver/ owner's Smart card is confiscated. The new DLs will also help the government in maintaining records of differently-abled drivers, any modifications made to the vehicles, emission standards and the person's declaration to donate organs. (IANS/JB)

Keywords: Delhi, Driving License, Registration License, Digitisation.