Studies by the University of South Australia studied in Stuttgart, Germany, Information Flinders University and developed in collaboration with the University of Max Planck Institute of Science, using the most advanced machine learning algorithms to show the connection between personality and eye movement. .
Results show that the speed of the eyes of people is revealed whether they are affable, responsible or curious, software algorithms are four to identify five personality traits, reliably: neuroticism, extrovert, agreements and conscientiousness.
The researchers tracked the eye activities of 42 participants during the pursuit by completing a questionnaire to assess their daily work, their personality traits in the university campus.
Dr. Tobias Loetscher UniSA said that the study will carefully investigate eye movement and personality traits and provides new links for social information not important information in emerging areas of social processing and robotics.
Dr. Lettchurch said, "These conclusions are definitely the possibility of improving human-computer interaction."
"People are always looking to improve personal service. However, today's robots and computers do not need social awareness, and therefore they can not adapt to nonverbal signals.
"This research provides the opportunity to develop robots and computers that enable them to understand human social signals more natural and better."
Dr Loetcher said that the conclusions also provide an important bridge between tightly controlled laboratory research and the study of natural eye movements in the real world.
"This study tracks and measures the visual behavior of people's daily work and provides more natural feedback from the lab.
"As the methods of learning our machines, we not only acknowledge the role of personality in the interpretation of eye movements in daily life, but also revealed new features of eye movements as a factor of personality traits."
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