RUDN Journal of Psychology and PedagogicsRUDN Journal of Psychology and PedagogicsВестник Российского университета дружбы народов. Серия: Психология и педагогика2313-16832313-1705Peoples’ Friendship University of Russia named after Patrice Lumumba (RUDN University)13409ArticlesСтатьиResearch ArticleTHE PUPILLOMETRIC PREDICTOR OF INTERNET-ADDICTIONПУПИЛЛОМЕТРИЧЕСКИЕ ПРЕДИКТОРЫ ИНТЕРНЕТ-ЗАВИСИМОСТИErshovaR VЕршоваР ВDepartment of PsychologyКафедра психологии-SeminaT MСеминаТ МDepartment of PsychologyКафедра психологии-VarchenkoN NВарченкоН Н-GankinK AГанькинК А-NovikV PНовикВ П-State University of Humanities and Social StudiesГосударственный социально-гуманитарный университет“Sambon Precision & Electronics Co., Ltd” (Republic of Korea) Representation in MoscowOAO «Самбон Пресижн энд Электроникс» (Республика Корея)Представительство в Москве“IriTech Co., LTD” (Republic of Korea) Representation in Moscow«ИриТех Ко., ЛТД» (Республика Корея)Представительство в Москве150120161NO1 (2016)№1 (2016)425417092016Copyright ©; 2016, Ершова Р.В., Семина Т.М., Варченко Н.Н., Ганькин К.А., Новик В.П.2016Ершова Р.В., Семина Т.М., Варченко Н.Н., Ганькин К.А., Новик В.П.http://creativecommons.org/licenses/by/4.0https://journals.rudn.ru/psychology-pedagogics/article/view/13409This study aims to investigate the possibilities of using binocular synchronous pupillography as a method of Internet addiction (IA) prediction.326 undergraduate students (179 females and 147 males, average age = 18,6) took part in this study. They were divided into three groups: “Internet addicted” (34 people), “not-addicted” (136 people), and “moderate-addicted”, according to normal distribution of Chen’s Addiction Scale results. The pupillography method was used to compare the IA symptoms in IA and Not-IA students.The total IA in pupillometric parameters was manifested as an increased width of the pupil, emotional instability, exhaustion, slack reactions, combined with the depth of reaction and impetuosity. The severity of Internet addiction was positively correlated with the number of pupillometric parameters.Our findings suggested that changes in pupil reaction were present in IA students and this finding may provide a new insight into the pathogenesis of IA.Целью данного исследования является изучение возможности использования бинокулярной синхронной пупиллометрии как метода измерения интернет-зависимости. В исследовании участвовало 326 студентов (179 женщин и 147 мужчин, средний возраст респондентов - 18,6 лет). Участники были разделены на три группы: «интернет-зависимые», «независимые от Интернета» и «умеренно зависимые» на основе данных нормального распределения результатов по тесту интернет-зависимости (Chen’s Internet Addiction Scale). Пупиллометрия была использована для сравнения выраженности показателей интернет-зависимости в двух группах. Интернет-зависимость в пупиллометрических параметрах проявляется как увеличенная ширина зрачка, эмоциональная нестабильность, истощение, вялость зрачковой реакции в сочетании с глубиной и стремительностью реакции. Уровень интернет-зависимости положительно связан с количеством пупиллометрических параметров. Результаты свидетельствуют о том, что у интернет-зависимых студентов присутствуют изменения в реакции зрачка, результаты могут обеспечить новый взгляд на патогенез интернет-зависимости.Internet addiction (IA)pupillometrypupil reactionattention disturbancesemotional instabilitydepressionexhaustionstressинтернет-зависимостьпупиллометриязрачковая реакциярасстройство вниманияэмоциональная нестабильностьдепрессияистощениестресс1.Anderson C.A. et al. Violent video game effects on aggression, empathy, and prosocial behavior in eastern and western countries: a meta-analytic review. Psychological bulletin, 2010, vol. 136, no 2, pp. 151.2.Angrist J., Lavy V., Schlosser A. Multiple experiments for the causal link between the quantity and quality of children. Journal of Labor Economics, 2010, vol. 28, no 4, pp. 773-824.3.Block J.J. Issues for DSM-V: internet addiction. American Journal of Psychiatry, 2008, no 165, pp. 306-307.4.Bolz N. The User-illusion of the World: On the Meaning of Design. Mediamatic Magazine, 1998, vol. 9, no 1.5.Castells M. The network society: A cross-cultural perspective. Massachusetts, Edward Elgar, 2004.6.Cao F., Su L. Internet addiction among Chinese adolescents: prevalence and psychological features. Child Care Health Dev., 2007, no 33, pp. 275-81.7.Ershova R. O psikhologitcheskih posledstviyah tehnologitcheskogo proriva [Psychological effects of technological breakthroughs]. Rossiya i mir: razvitiye tsivilizatsiy [Russia and World: development of civilization]. Moscow, 2014, pp. 113-124.8.Ershova R., Varchenko N., Gankin K. O psikhophisiologitcheskih prediktorah litchnostnih svoistv [Psychophisiological predictors of personal characteristics]. Tchelovetcheskiy capital [Human capital], 2014, no 7 (67), pp. 52-55.9.Feldshtein D. Glubinniye izmeneniya detstva i obuslovlennaya imi aktualizatsiya psihologo-pedagogitcheskih problem razvitiya obrazovaniya [Deep changes in childhood and the consequent updating of psychological and pedagogical problems of education]. Vestnik prakticheskoy psihologii obrazovzniya [Herald of Applied Psychology of Education], 2011, no1, pp. 45-54.10.Giesecke M. Sinnenwandel, Sprachwandel, Kulturwandel. Studienzur Vorgeschichte der Informationsgesellschaft. Revue de l’IFHA, Date de parution de l’œuvre, 1992.11.Griffiths M. Does Internet and computer «addiction» exist? Some case study evidence. CyberPsychology and Behavior, 2000, vol. 3, no 2, pp. 211-218.12.Koh Y.S. Development and application of K-Scale as diagnostic scale for Korean Internet addiction. 2007 International Symposium on the Counseling and Treatment of Youth Internet Addiction. Seoul, Korea, National Youth Commission, 2007, pp. 294.13.Kuss D. J., Griffiths M. D., Binder J. F. Internet addiction in students: Prevalence and risk factors. Computers in Human Behavior, 2013, vol. 29, no 3, pp. 959-966.14.Maligin V. et al. Internet-zavisimoe povedeniye. Kriterii i metodi diagnostiki [Internet addiction. Diagnosis criteria]. Moscow, 2011. 33 p.15.Matveev I.A., Varchenko N.N., Gankin K.A. Using binocular pupillometry method for evaluating functional state of person. Sports Technology, 2015, vol. 8.16.Nakayama M., Shimizu Y. Frequency analysis of task evoked pupillary response and eye-movement. Proceedings of the 2004 Symposium on Eye Tracking Research & Applications. New York, ACM, p. 71-76.17.Pea R. et al. Media use, face-to-face communication, media multitasking, and social well-being among 8-to 12-year-old girls.Developmental psychology, 2012, vol. 48, no 2, pp. 327.18.Przybylski A. K. et al. Motivational, emotional, and behavioral correlates of fear of missing out. Computers in Human Behavior, 2013, vol. 29, no 4, pp. 1841-1848.19.Sim T. et al. A conceptual review of research on the pathological use of computers, video games, and the Internet. International Journal of Mental Health and Addiction, 2012, vol. 10, no 5, pp. 748-769.20.Small G., Vorgan G. iBrain. New York, Harper Collins, 2009. 256 p.21.Turkle S. The second self: Computers and the human spirit. Mit Press, 2005.22.Vessman L., Khanushek E. Rol kachestva obrazovaniya v ekonomicheskom roste (chast 1) [The role of education quality in economic grow (part 1)]. Voprpsy obrasovaniya [Education Issues], 2007, no 2, pp. 86-116.23.Voiskounsky A.E. Ot Psikhologii compjuterizatsii k psikhologii interneta [From Psychology of Computerization to Psychology of Internet]. Vestnik Moskovskogo universiteta. Serija 14. Psikhologija [The Moscow University Herald. Serie 14. Psychology], 2008, no.2, pp. 140-153.24.Willke H. Smart governance: governing the global knowledge society. Campus Verlag, 2007.25.Xu J. et al. Personal characteristics related to the risk of adolescent internet addiction: a survey in Shanghai, China. BMC public health, 2012, vol. 12, no. 1, pp. 1106.26.Yen J.Y. et al. The comorbid psychiatric symptoms of Internet addiction: attention deficit and hyperactivity disorder (ADHD), depression, social phobia, and hostility.Journal of adolescent health, 2007, vol. 41, no 1, pp. 93-98.27.Young K. et al. Cyber disorders: the mental health concern for the new millennium. CyberPsychology & Behavior, 1999, vol. 2, no 5, pp. 475-479.28.Zelenka A. From the Information Age to the Connected Age. Giga OM, 2007. Avialible at https://gigaom.com/2007/10/06/from-the-information-age-to-the-connected-age/29.Zhou Y. et al. Gray matter abnormalities in Internet addiction: a voxel-based morphometry study. European journal of radiology, 2011, vol. 79, no 1, pp. 92-95.