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Researchers have used artificial intelligence to show that very subtle eye movements, of the sort you might pick up with a camera, can divine aspects of personality much better than random guessing.
It’s another good example of how the wealth of biometric data that humans produce, once digitized and examined at large scale, can reveal hidden aspects of identity in ways that could be a boon to intelligence gathering.
The German and Australian researchers fitted 42 volunteers with eye-tracking headgear, and had them fill out the NEO Five-Factor Inventory, a personality test that measures traits such as neuroticism, extraversion, openness, agreeableness, and conscientiousness.
They then had the subjects go about a normal routine while they quietly collected eye movement data and then used machine learning to categorize the data.
“Thanks to the machine learning approach, we could automatically analyze a large set of eye movement characteristics and rank them by their importance for personality trait prediction. Going beyond characteristics investigated in earlier works, this approach also allowed us to identify new links between previously under-investigated eye movement characteristics and personality traits,” they write.
