Peculiarities of eye Motor Reactions During the Perception of Static Images in Boys and Girls with a Bend to Computer Gaming Dependence

The problem of formation, course, prevention and rehabilitation of computer gambling addiction has been actively studied in the last decade. However, there is a shortage of valid and reliable methods for identifying a tendency to computer gambling addiction. The article is devoted to the study of the features of oculomotor reactions as markers of the risk of computer gambling addiction, as well as to the disclosure of the diagnostic potential of hardware methods, in particular the oculography method, in the early diagnosis of computer gambling.Purpose of the study. To reveal the features of oculomotor reactions in the perception of static images in boys and girls with a tendency to game computer addiction.Methods. To assess oculomotor reactions (fixation duration, number of fixations, and gaze fixation latency), we used the GP3 Gazepoint remote software and hardware system for assessing oculomotor reactions. To assess the tendency to game computer addiction, we used the following methods: clinical screening diagnostics of addictive and addictive behavior by I.S. Lukyantseva, V.A. Ruzhenkov; Internet Gaming Disorder Pontes, O. Kiraly, Z. Demetrovics, M.D. Griffiths (adapted by A.A. Petrova, N.B. Chernyak); screening diagnostics of computer gambling addiction L.N. Yurieva, T.Yu. Bolbot.Results. As a result of the study, we identified the features of oculomotor reactions that are characteristic of people with different experience in gaming (gamers, e-sportsmen who do not have experience in gaming), and analyzed their relationship with a tendency to computer gaming addiction. We have identified the most significant areas of interest for assessing oculomotor reactions (the area of control of the game action, the area of expectation of the game action, the peripheral area). A connection was found between the level of propensity for gaming computer addiction and the number and duration of fixations on stimuli containing gaming achievements and screenshots of eSports disciplines (Dota2, CS:GO, Hearthstone).Conclusion. The results obtained will make it possible to create guidelines for the selection of static images of a certain structure, as well as to develop a hardware method for diagnosing a tendency to game computer addiction