Scientists have designed an AI (Artificial intelligence)-based system that can disclose your type of personality just by seeing your eye movements. The system employs ML (Machine Learning) algorithms to reveal a connection between eye movements and personality.
The results established that eye movements of people reveal whether they are conscientious, sociable, or curious, with the algorithm software dependably recognizing 4 of the “Big Five” personality traits namely extroversion, neuroticism, conscientiousness, and agreeableness.
“People are always looking for personalized & improved services. On the other hand, today’s computers and robots are not socially aware so they can’t become accustomed to non-verbal cues,” claimed University of South Australia’s Dr Tobias Loetscher to the media in an interview.
“This research offers opportunities to design computers and robots so that they can become better and more natural at interpreting human social signs,” Loetscher claimed to the media. The research was conducted by the University of South Australia in Germany in association with the Flinders University, University of Stuttgart, and the Max Planck Institute for Informatics.
Scientists tracked the movements of eye for 42 participants as they undertook daily errands across a university campus. The survey offered new connections between earlier under-investigated personality traits and eye movements, offering important insights for up-and-coming fields of social robotics and social signal processing.
“There is surely the capability for these results to enhance human-machine communication,” Dr Loetscher claimed. “Thanks to our ML approach, we not only authenticate the role of personality in clarifying eye movement in daily life, but also disclose new characteristics of eye movement as personality traits’ predictors,” claimed the scientists.
Speaking of AI, scientists at IIT (Indian Institute of Technology) Hyderabad recently designed a solution with the help of AI for automatic verification of bikers driving with no helmets in surveillance videos.