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New artificial intelligence can predict personality type based on a person鈥檚 eye movements.

Developed by the聽聽in partnership with the , and the 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鈥檚 eye movements reveal whether they are sociable, conscientious or curious, with the algorithm software reliably recognising four of the聽Big Five聽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鈥檚聽Dr Tobias Loetscher聽said 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.

鈥淭here鈥檚 certainly the potential for these findings to improve human-machine interactions,鈥� Dr Loetscher said.

鈥淧eople are always looking for improved, personalised services. However, today鈥檚 robots and computers are not socially aware, so they cannot adapt to non-verbal cues.

鈥淭his research provides opportunities to develop robots and computers so that they can become more natural and better at interpreting human social signals.鈥�

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

鈥淭his 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.

鈥淎nd 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.鈥�

Image credit: 漏stock.adobe.com/au/NinaMalyna