We've updated our Privacy Policy to make it clearer how we use your personal data.

We use cookies to provide you with a better experience. You can read our Cookie Policy here.

Advertisement
AI Predicts Personality by Tracking Eye Movements
News

AI Predicts Personality by Tracking Eye Movements

AI Predicts Personality by Tracking Eye Movements
News

AI Predicts Personality by Tracking Eye Movements

Read time:
 

Want a FREE PDF version of This News Story?

Complete the form below and we will email you a PDF version of "AI Predicts Personality by Tracking Eye Movements "

First Name*
Last Name*
Email Address*
Country*
Company Type*
Job Function*
Would you like to receive further email communication from Technology Networks?

Technology Networks Ltd. needs the contact information you provide to us to contact you about our products and services. You may unsubscribe from these communications at any time. For information on how to unsubscribe, as well as our privacy practices and commitment to protecting your privacy, check out our Privacy Policy

It’s often been said that the eyes are the window to the soul, revealing what we think and how we feel. Now, new research reveals that your eyes may also be an indicator of your personality type, simply by the way they move.


Developed by the University of South Australia in partnership with the University of Stuttgart, Flinders University and the Max Planck Institute for Informatics in Germany, the research uses state-of-the-art machine-learning algorithms to demonstrate a link between personality and eye movements.


Findings show that people’s eye movements reveal whether they are sociable, conscientious or curious, with the algorithm software reliably recognising four of the Big Five personality traits: neuroticism, extroversion, agreeableness, and conscientiousness.


Researchers tracked the eye movements of 42 participants as they undertook everyday tasks around a university campus, and subsequently assessed their personality traits using well-established questionnaires.


UniSA’s Dr Tobias Loetscher says the study provides new links between previously under-investigated eye movements and personality traits and delivers important insights for emerging fields of social signal processing and social robotics.


“There’s certainly the potential for these findings to improve human-machine interactions,” Dr Loetscher says.


“People are always looking for improved, personalised services. However, today’s robots and computers are not socially aware, so they cannot adapt to non-verbal cues.


“This research provides opportunities to develop robots and computers so that they can become more natural, and better at interpreting human social signals.”


Dr Loetscher says the findings also provide an important bridge between tightly controlled laboratory studies and the study of natural eye movements in real-world environments.


“This research has tracked and measured the visual behaviour of people going about their everyday tasks, providing more natural responses than if they were in a lab.


“And thanks to our machine-learning approach, we not only validate the role of personality in explaining eye movement in everyday life, but also reveal new eye movement characteristics as predictors of personality traits.”

This article has been republished from materials provided by the University of South Australia. Note: material may have been edited for length and content. For further information, please contact the cited source.

Reference: Hoppe, S., Loetscher, T., Morey, S. A., & Bulling, A. (2018). Eye Movements During Everyday Behavior Predict Personality Traits. Frontiers in Human Neuroscience, 12. https://doi.org/10.3389/fnhum.2018.00105

Advertisement