Website recognizes user annoyance by cursor movement.

It turns out that the user's mood can be determined by how he moves the mouse. Experts from Brigham and Young University conducted a study on real users and determined what exactly is the difference between normal and annoyed users (for this they had to really ruffle a few dozen people who participated in the experiments).

This information can be used to adapt the interface. Or instantly offer help to an annoyed person via chat on the site.

Information Systems Specialist, Professor Jeffrey Jenkins says that if a person experiences anger (and other negative emotions - disappointment, confusion, sadness), it becomes less accurate in movements and moves the mouse less smoothly. The trajectory of the cursor loses the shape of a straight or gently curved curved line. Instead, it becomes uneven, unexpected, twitch. Negative users usually slow down mouse movement.

“This is illogical; you can say: "When I am annoyed, I start moving the mouse faster," says Jenkins. “But no, you actually move the mouse more slowly.”
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Modern technologies allow the website to obtain information about the movement of the user's mouse. This means that the site can react to the mood of the user: “Using this technology, websites will no longer be stupid,” says the professor. - Websites can not only show information, they are able to feel you. They can understand not only the data provided, but also what you feel. "

Jenkins hopes that the technology developed by him will allow web developers to identify the most annoying elements of sites that cause the most negative emotions among users. Now the developer will know exactly on which web pages users start to use foul language in a rage.

"Traditionally, it was very difficult to determine when a user goes out of himself," says Jenkins. - This can lead to loss of customer. If we get a response to negative emotions, then we can customize the site to eliminate stress or offer help. ”

The technology is patented and will be offered as a commercial service through a specially created startup. The author of the invention says that it can be adapted for mobile devices by analyzing gestures and pressing the touchscreen.

The study of Jeffrey Jenkins published in the journal Management Information Systems Quarterly (unfortunately, only the abstract of the article is freely available).