An AI Algorithm Detects your Personality by analyzing Eye Movement!

Aishwarya Singh 07 May, 2019 • 2 min read


  • Scientists have developed an AI system that tracks eye movements to recognize your personality type
  • The researchers fed data of 42 participants into the AI algorithm
  • The AI system is able to correctly identify four personality traits -neuroticism, extroversion, agreeableness, and conscientiousness



Psychologists and researchers all over the world have been trying to determine an individual’s personality based on characteristics, posture, handwriting, etc since times immemorial. Thousands upon thousands of tests and studies have been done on the subject but now finally artificial intelligence might have a concrete answer.

Researchers claim that eye movement can be used as an indicator of an individual’s personality. They have used state-of-the-art machine learning algorithms to demonstrate their findings. The result of the study undertaken by the neuroscience researchers from the University of Stuttgart in Germany and Flinders University in Australia have shown mind blowing results.

As a part of this study, researchers tracked the eye movements of 42 participants, while they undertook everyday tasks in the university. On feeding the data into the AI algorithm, the researchers found that computers running the algorithm were able to record human eye movements and immediately determine a person’s major personality traits.

Well established user questionnaires were used to assess these findings. The team claims that their algorithm successfully recognizes four of the ‘Big Five’ personality traits, namely: neuroticism, extroversion, agreeableness, and conscientiousness.

The study has been published in a scientific journal called Frontiers in Neuroscience. The results show that AI is able to identify the most important personality types. A few previously undiscovered links between specific eye movements and personality characteristics have been revealed in the final report. The team is positive that it can be useful for providing inferences in social signal processing and social robots. The researchers believe that this will be able to improve the human-machine interactions and improvise personalized services.


Our take on this

This is something very different from the usual research papers we come across. The team has proved that there exists a strong correlation between the eye movements of an individual and what they think. While this has been hypothesized earlier, it’s nice to finally have some substantial proof.

As mentioned by one of the team members in an interview, the results of the study could be used to improve the human-robot interactions. Does this put us closer to general artificial intelligence? It’s too early to make that claim but it’s a step in the right direction.


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Aishwarya Singh 07 May 2019

An avid reader and blogger who loves exploring the endless world of data science and artificial intelligence. Fascinated by the limitless applications of ML and AI; eager to learn and discover the depths of data science.

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