Akıllı Telefon Bağımlılığında Sosyal Medya ve Oyunların Etkilerini Anlamak

Yıl 2021, Cilt: 4 Sayı: 7, 177 - 192, 30.11.2021

Akan Yanık , Songül Yanık

Öz

Akıllı telefonlar başta erişim, işlem ve iletişim kapasitesi olmak üzere çok sayıda avantaj barındırsa da ciddi sosyal ve psikolojik problemler de yaratmaktadır. Bu problemler cep telefonu bağımlılığı, sorunlu cep telefonu kullanımı, alışkanlık yapan cep telefonu kullanımı ve dürtüsel cep telefonu kullanımı gibi çeşitli başlıklarda ele alınıp incelenmektedir. Bu çalışma, öz kontrol, FoMo ve boş zaman can sıkıntısı faktörlerinin akıllı telefon bağımlılığı üzerindeki etkilerine odaklanmıştır. Ayrıca bu faktörlerin etkisini sosyal ağ ve oyun kullanımı üzerinden karşılaştırmalı olarak analiz etmektedir. Araştırma sonuçlarına göre öz kontrol akıllı telefon bağımlılığının çok güçlü bir negatif yordayıcısıdır. Ayrıca FoMo da akıllı telefon bağımlılığının pozitif bir yordayıcısıdır. Benzer şekilde hem sosyal medya hem de oyun kullanımları da akıllı telefon bağımlılığının pozitif belirleyicileridir. Araştırmada boş zaman can sıkıntısının akıllı telefon bağımlılığı üzerinde bir yordayıcı etkiye sahip olmadığı anlaşılmaktadır.

Anahtar Kelimeler

Akıllı Telefon Bağımlılığı, Öz Kontrol, FoMo, Sosyal Medya, Oyun

Destekleyen Kurum

Adnan Menderes Üniversitesi Bilimsel Araştırma Projeleri Koordinatörlüğü

Proje Numarası

ATMYO-18001

Understanding The Effects of Social Media and Games on Smartphone Addiction

Öz

Smartphones have many advantages, especially access, transaction and communication capacity. However, it is known that it creates serious social and psychological problems beyond these benefits. These problems are discussed and examined under various headings such as mobile phone addiction, problematic mobile phone use, habit-forming mobile phone use and impulsive cell phone use. This study focused on the effects of self-control, FoMo, and leisure boredom on smartphone addiction. It also analyzes the effects of these factors comparatively over the use of social networks and games. According to the results of the research, self-control is a very strong negative predictor of smartphone addiction. In addition, FoMo is a positive predictor of smartphone addiction. Similarly, both social media and gaming use are also positive predictors of smartphone addiction. In the research, it is understood that leisure boredom does not have a predictive effect on smartphone addiction.

Anahtar Kelimeler

Smartphone Addiction, Self Control, FoMo, Social Media, Gaming

Proje Numarası

ATMYO-18001

Kaynakça

• Bandura, A. (1997). Self-efficacy: The exercise of control. New York, NY: Freeman.
• Beyens, I., Frison, E. ve Eggermont, S. (2016). “I don’t wanna miss a thing:” Adolescents fear of missing out and its relationship to adolescents’ social needs, Facebook use, and Facebook related stress. Computers in Human Behavior, 64, 1-8. doi:10.1016/j.chb.2016.05.083
• Billieux, J., Philippot, P., Schmid, C., Maurage, P., De Mol, J.ve Van der Linden, M. (2015). Is dysfunctional use of the mobile phone a behavioural addiction? Confronting symptom-based versus process-based approaches. Clinical Psychology & Psychotherapy, 22, 460–468
• Can, G., ve Satıcı, S. A. (2019). Adaptation of fear of missing out scale (FoMOs): Turkish version validity and reliability study. Psicologia: Reflexão e Crítica, 32(3), 1-7
• Cazzulino, F., Burke, R.V., Muller, V., Arbogast, H. ve Upperman, J.S. (2014). Cell phones and young drivers: a systematic review regarding the association between psychological factors and prevention. Traffic Injury Prevention, 15, 234–242
• Cheever, N.A., Rosen, L.D., Carrier, L.M. ve Chavez, A. (2014). Out of sight is not out of mind: the impact of restricting wireless mobile device use on anxiety levels among low, moderate and high users. Computers in Human Behavior, 37, 290–297
• Chiu, S.I. (2014). The relationship between life stress and smartphone addiction on Taiwanese university student: a mediation model of learning self-efficacy and social self-efficacy. Computers in Human Behavior, 34, 49e57.
• Clayton, R.B., Leshner, G. ve Almond, A. (2015). The extended iSelf: the impact of iPhone separation on cognition, emotion, and physiology. Journal of Computer-Mediated Communication, 20, 119–135.
• Davey, S. ve Davey, A. (2014). Assessment of smartphone addiction in indian adolescents: a mixed method study by systematicreview and meta-analysis approach. International Journal of Preventive Medicine, 5(12), 1500-1511
• Demirci, K., Orhan, H., Demirdas, A., Akpınar, A., ve Sert, H. (2014). Validity and reliability of the Turkish version of the smartphone addiction scale in a younger population. Bulletin of Clinical Psychopharmacology, 24(3), 226-234.
• Elhai, J.D., Dvorak, R.D., Levine, J.C. ve Hall, B.J. (2017). Problematic smartphone use: a conceptual overview and systematic review of relations with anxiety and depression psychopathology. Journal of Affective Disorders. 207, 251–259
• Fisherl, C.D. (1993). Boredom at work: a neglected concept. Human Relation, 46(3), 395–417
• Ha, Y.-M., ve Hwang, W.-J. (2014). Gender differences in internet addiction associated with psychological health indicators among adolescents using a national web-based survey. International Journal of Mental Health Addiction, 12, 660-669.
• Hawi, N. S. (2012). Internet addiction among adolescents in Lebanon. Computers in Human Behavior, 28, 1044-1053
• Huang, F., Lee, Y. ve Hwang, S. (2009). E-shopping behavior and user-web interaction for developing a useful green website. Human-Computer Interaction, 446-454
• Iso-Ahola, S.E. ve Weissinger, E. (1990). Perceptions of leisure boredom in leisure: conceptualization, reliability and validity of the leisure boredom scale. Journal of Leisure Research – Taylor & Francis Online, 22(1), 1–17
• Kardefelt-Winther, D. (2014). Problematizing excessive online gaming and its psychological predictors. Computers in Human Behavior, 31, 118e122.
• Kim, S. J. ve Byrne, S. (2011). Conceptualizing personal web usage in work contexts: a preliminary framework. Computers in Human Behavior, 27, 2271-2283
• Kim, D., Lee, Y., Lee, J., Nam, J. K., veChung, Y. (2014). Development of Korean smartphone addiction proneness scale for youth. PLoS One, 9(5), e97920.
• Kuss, D. J. ve Griffiths, M. D. (2012). Internet gaming addiction: a systematic review of empirical research. International Journal of Mental Health and Addiction, 10(2), 278e296
• Kwon, M., Lee, J.-Y., Won, W.-Y., Park, J.-W., Min, J.-A., Hahn, C., vd. (2013). Development and validation of a smartphone addiction scale (SAS). PLoS One, 8(2), e56936.
• LaRose, R. ve Eastin, M. (2004). A social cognitive theory of Internet uses and gratifications: toward a new model of media attendance. Journal of Broadcasting & Electronic Media, 52, 358-377
• Lee, Y.K., Chang, C.T., Lin, Y. ve Cheung, Z.H. (2014). The dark side of smartphone usage: psychological traits, compulsive behavior and technosress. Computers in Human Behavior, 31, 373-383
• Lee, E. (2015). Too much information: heavy smartphone and Facebook utilization by African American young adults. Journal of Black Studies, 46(1), 44e61.
• Leung, L. (2008). Linking psychological attributes to addiction and improper use of the mobile phone among adolescents in Hong Kong. Journal of Children & Media, 2(2), 93e113.
• Nebioglu, M., Konuk, N., Akbaba, S. ve Eroglu, Y. (2012). The Investigation of Validity and Reliability of the Turkish Version of the Brief Self-Control Scale. Bulletin of Clinical Psychopharmacology, 22(4), 340-351. DOI: 10.5455/bcp.20120911042732
• Oulasvirta, A., Rattenbury, T., Ma, L., ve Raita, E. (2012). Habits make smartphone use more pervasive. Personal and Ubiquitous Computing, 16(1), 105-114.
• Özdemir, Y., Kuzucu, Y., ve Ak, S. (2014). Depression, loneliness and internet addiction: how important is low self-control? Computers in Human Behavior, 34, 284-290.
• Przybylski, A.K., Murayama, K., DeHaan, C.R. ve Gladwell, V. (2013). Motivational, emotional, and behavioral correlates of fear of missing out. Computers in Human Behavior, 29, 1841– 1848
• Roberts, J.A.P., Yaya, L.H. ve Manolis, C. (2014). The invisible addiction: cell-phone activities and addiction among male and female college students. Journal of Behavioral Addictions, 3(4), 254-265
• Robinson, T.E. ve Berridge, K.C. (2001). Incentive-sensitization and addiction. Addiction, 96, 103–114
• Shaffer, H. J. (1996). Understanding the means and objects of addiction: Technology, the internet, and gambling. Journal of Gambling Studies, 12(4), 461–469
• Smith, A. ve Page, D. (2015). April 1. U.S. smartphone use in 2015. PewResearch Internet Project. Pew Research, http://www.pewinternet.org/files/2015/03 /PI_Smartphones_040 1151. Pdf
• Srivastava, J. (2013). Media multitasking performance: role of message relevance and formatting cues in online environments. Computers in Human Behavior, 29(3), 888-895
• Şata, M. ve Karip, F. (2017). Akıllı telefon bağımlılığı ölçeği-kısa versiyonu’nun ergenler için Türk kültürüne uyarlanması. Cumhuriyet International Journal of Education, 6(4), 426–440.
• van Deursen, A. J., Bolle, C. L., Hegner, S. M., ve Kommers, P. A. (2015). Modeling habitual and addictive smartphone behavior: the role of smartphone usage types, emotional intelligence, social stress, self-regulation, age, and gender. Computers in Human Behavior, 45, 411-420.
• Yanık, A. (2016) Yeni Medya Nedir Ne Değildir? Uluslararası Sosyal Araştırmalar Dergisi, 9 (45), 898-910.
• Yoo, Y. S., Cho, O. H., ve Cha, K. S. (2014). Associations between overuse of the internet and mental health in adolescents. Nursing & Health Sciences, 16, 193-200.
• Yüksel, A. ve Yanık, A. (2014). Co-Creation Value and Social Media: How. (Ed: Nina K. Prebensen, Joseph S. Chen ve Muzaffer Uysal) Creating Experience Value in Tourism. Boston, MA.: CABI.