AI can reveal your personality via eye movements
Scientists have developed a new artificial intelligence system that can track a person’s eye movements to identify their personality type. Researchers from the University of Stuttgart in Germany and Flinders University in Australia used machine learning algorithms to demonstrate a link between personality and eye movements. The finding of the research shows that from people’s eye movement — it can be identified whether they are sociable, conscientious or curious. The algorithm software also recognizes four of the big five personality traits: neuroticism, extroversion, agreeableness, and conscientiousness.
Researcher tracked the eye movements of 42 participants as they undertook everyday tasks around the university campus. This study provided new links between previously under-investigated eye movements and personality traits, delivering important insights for emerging fields of social signal processing and social robotics.
Dr. Tobias Loetscher from the University of South Australia said –
“There’s certainly the potential for these findings to improve human-machine interactions. People are always looking for improved, personalized 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 added in the statement.
Researchers said that –
“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.”
Dr. Loetscher said that findings also provide an important bridge between tightly controlled laboratory studies and the study of natural eye movements in real-world environments. Moreover, this research has tracked and measured the visual behavior of people going about their everyday tasks, providing more natural resources than if they were in a lab.