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In today's world, we can encounter futuristic possibilities such as augmented reality, autonomous vehicles or artificial intelligence, almost at every turn. However, this does not mean that these topics are perfectly researched and we know everything about them. On the contrary, these possibilities are still only in their infancy. Scientists are most recently working on the development of artificial intelligence that can estimate personality type, all by recording your gaze.

This research started on the basis of a simple fact that each of you has surely experienced first hand. If a person is nervous, under pressure, or generally under a certain emotion, eye movements can easily tell. In similar situations, it happens that a person rolls his eyes from side to side or nervously averts his gaze. One of the most important organs in our body can thus easily betray us, which became the impetus for the project of the Australian neurobiologist Tobias Loetscher. "Thanks to our progress in the field of artificial intelligence and machine learning, we can not only deduce various information from eye movements, but even assume the personality type of a given person," describes a scientist working at the University of South Australia.

Under the guidance of Tobias Loetscher, he tested this research in practice. How successful has artificial intelligence been?

The research of this phenomenon consisted of two parts, with both theoretical and practical elements involved. 50 volunteers took part in the testing, who first had to fill out questionnaires with simple personality traits. The subjects described their openness, truthfulness, conscientiousness and similar traits, which were subsequently implemented into the artificial intelligence system. The field research consisted of visiting a shopping center where the volunteers had a simple task, to shop. During this, they wore a head-mounted set with eye scanners that recorded movements and gaze characteristics.

Subsequently, the researchers had this data analyzed by artificial intelligence, which had the task of connecting individual scans with personality profiles from questionnaires. These weren't great results, but the system matched the pairs about 15% more accurately than if it had proceeded randomly without any resources. According to a large group of scientists and neurologos, this sphere has enormous potential in the case of machine-human interaction. The project certainly looks promising, but at the moment there is no sancand its use in practice.

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