Eye tracking technology is emerging in more and more places these days, and with very broad purposes, it is possible to monitor where you are looking and how they are reacting, depending on the condition, iris and pupil of your eye. The technology also doesn’t require that complicated hardware: an HD camcorder facing your face will suffice to gather information.
But according to research conducted in 2020, if we pass this data through advanced data analysis systems, we can get astonishing amounts of information about you. “Our analysis shows that eye tracking data can contain information about biometric identity, gender, age, ethnicity, body weight, personality traits, drug use habits, emotional state, skills and abilities,” the researchers wrote in their paper. “Fear, interests and sexual orientations of the user.”
This is not the whole story. Elsewhere in the same article, it is stated that “special measures for monitoring eye movements may even lead to the disclosure of certain cognitive processes and can be used to identify physical and mental states.” “Analyzed data are used to study a range of psychiatric and neurological conditions such as Autism Spectrum Disorder (ASD), Attention Deficit Hyperactivity Disorder (ADHD), Obsessive-Compulsive Disorder (OCD), Parkinson’s, Alzheimer’s and Schizophrenia,” Grandview researchers said. ».
But what exactly are the researchers looking at? Yes, eye tracking systems can detect where your eyes are staring, but the subject is much broader than that. These systems can also detect the distance of the eye from the point of view, the rapid eye movements between staring moments, the smooth movements of following the text, and things like the acceleration and maximum speed of your eye movements.
These systems can analyze your eyelashes, see exactly how wide your eyes open, how often you blink, and how long your eyes stay closed while blinking. They can spot redness in the eyes and detect the dryness or wetness of your eyes through reflections. They can measure your pupil dilation (which usually means sexual desire, but it is also related to drug use, fear, and certain brain injuries). They can also recognize eye color and iris texture.
The same systems can identify your facial expressions, eyebrow movements, number and depth of wrinkles around the eyes, eye shape and skin color. It is not without reason that eyes are called “windows to the human soul” – eyes can give us a lot of information about the person we are interacting with, and through evolution and pattern recognition, each of us can gain a wealth of information about Teach people just by looking into their eyes.
Biometric identity can be formed by a combination of several things. First of all, the colors and patterns of your iris can basically be used like a fingerprint. But the reactions of the pupil, the speed of staring at an object, and the trajectory of your eyes when following a moving object are just as unique: Differences in brain and mechanical functions make such things unique to you.
Then there’s the mental use – the area where eye monitoring sometimes works better than an electroencephalogram. Pupil openness can be used as a measure of the difficulty of work and mental effort. Your blink rate is directly related to dopamine levels and indicates goal-based learning and behaviors.
Some of these events are obvious to the human audience. You can tell by looking at other people’s eye movements that a person is thinking, gaining access to their memory, or is daydreaming. But these same points reach new levels in the strange and unknown world of artificial intelligence and machine learning.
The way our eyes move in everyday life can, surprisingly, lead to accurate prediction of our personality traits through pattern-learning machine algorithms. In a very interesting study, it was found that machine learning can have an accurate prediction of the performance of subjects in four of the “5 great personality traits” (neuroticism, extroversion, adaptability, responsibility as well as curiosity). Other systems can detect your phobias, your sexuality, your interests and your specialties.
Emotional data obtained from the eyes has many details, goes beyond the three general states of positive, neutral and negative, and can accurately represent happiness, passion, stress, worry, humor, hatred, curiosity, anxiety, anxiety, hostility, fear. Anger, sadness and surprise. The intensity of emotions can be measured, and interestingly, researchers have shown that it is possible to distinguish instinctive emotional reactions from logical reactions.
The list goes on and on, but you get the whole picture: under the right conditions, any device can look you in the eye and get a lot of worrying information about you. And while you can freely choose where you look, there are other things you can not prevent from being revealed.
To alleviate some of the concerns, researchers say that many visual cues have confusing or contradictory meanings, and much of today’s general research has been done in a laboratory: in a low-cost, controlled environment away from real-world chaos.
On the other hand, this article only covers publicly available research. “One can reasonably assume that some companies that have access to eye monitoring data through consumer devices (such as smart device manufacturers or ecosystem owners) have larger training data, more technical expertise, and more financial resources than researchers who do,” the authors say. They have access to this article. “Facebook, for example, is a leader in virtual reality and eye-tracking technology, and at the same time one of the richest and most profitable companies in the world with a multi-billion dollar budget for R&D and a user community of more than 2.3 billion people.”
The benefits of such technology are quite obvious, especially when used in conjunction with virtual reality or augmented reality technology: Devices and applications can be highly personalized and respond to your situation and desires at any time. Eye tracking can also provide exciting opportunities for advertisers to target you, not just with the right products, but with the approaches, messages and timing that make you respond better than ever.
Of course, with so much real-time feedback coming in, public surveillance and privacy are more likely than ever. The potential impact on privacy will be far greater than if the history of your online business is in the eyes of the employer or even the world.
To maximize the benefits and minimize the risks, researchers suggest measures such as storing raw data for temporary use on the devices themselves, and the information should be made available anonymously and cluttered to device and app developers so that educational data can only be enhanced. And improved technology.