Plastic surgeons from Poland tried to find the “perfect” female breast using eye tracking technology. To do this, they put men and women in front of a special device and showed them their breasts. The results of the study were published in the Journal of the American Society of Plastic Surgeons.
To find the “perfect” chest, scientists scored groups of 50 men and 50 women. They were alternately planted in front of a computer, showed their breasts and tracked which parts of the image the subjects were looking at.
In the sample, computer generated breasts of different types and sizes. After viewing each option, subjects were asked to give a score of 1 to 10.
If the subject’s gaze lingered on any part of the image for more than 100 milliseconds, the researchers considered this to be intentional. According to the results of the study, scientists made a “map” of the most attractive places on the chest – it turned out that most often people paid attention to the nipples and chest area.
A team of surgeons decided to conduct an experiment to find the most aesthetically pleasing and attractive breast shape. This will allow doctors to carry out more effective operations that will satisfy clients.
The terms “beauty” and “aesthetics” are subjective, and therefore poorly defined and studied. Because of this, aesthetic and reconstructive breast surgery suffer from the lack of a standardized method of postoperative analysis. Eye tracking technology allows a qualitative analysis of the perception of certain stimuli such as symmetry and shape of the chest.
lead author of the study
Researchers admitted that their experiment actually does not reflect what people find attractive, but what they focus on. According to scientists, on the basis of these findings it is impossible to draw up a model of the “ideal” breast due to too small a sample of subjects.
However, more extensive work in the future will allow the creation of a universal breast assessment scale, which will help surgeons determine the success of operations. As the main author of the research, Petr Petruski, noted, the technology can also be combined with neural network algorithms, which could automatically analyze the attractiveness of the breast.