EVERGREEN

Joint Journal of Novel Carbon Resource Sciences and Green Asia Strategy

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ISSN:2432-5953 (Online)

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Exploring the Behavioral and Psychological Impacts of Smartphone Addiction on Online Gamers: A Quantitative Study

Robby Marlon Brando1,*, Ratna Mayasari1, Arwidya Tantri Agtusia2, Ellia Kristiningrum3, Afni Khadijah4, Juliansyah Juliansyah3
1Research Center for Industrial Process and Manufacturing Technology, National Research and Innovation Agency, Indonesia
2Research Center for Transportation Technology, National Research and Innovation Agency, Indonesia
3Research Center for Testing Technology and Standard, National Research and Innovation Agency, Indonesia
4Department of Industrial Engineering, University of Banten Jaya, Indonesia
*Author to whom correspondence should be addressed:
E-mail: robby.marlon.brando.example@university.edu (RMB)
Evergreen, Vol. 12, Iss. 02, pp. 1063–1078, 2025
DOI: 10.5109/7363495
Creative Commons Attribution 4.0 International Creative Commons Attribution 4.0 International
Received: November 29, 2024 | Revised: May 17, 2025 | Accepted: June 20, 2025 | Published: June 2025
Abstract
The rising incidence of smartphone addiction among online gamers has elicited apprehensions regarding its psychological and behavioral effects. This study aims to examine the impact of smartphone addiction on various individual outcomes and analyze demographic variations among affected gamers. A quantitative approach was used to collect data from 416 participants, which was then analyzed to see how smartphone addiction relates to factors like perceived stress (PSS), neuroticism (NEU), insomnia (AIS), anxiety (GAD), traffic accidents (TA), social skills (SS), and conscientiousness (CON). The findings indicate that smartphone addiction is significantly associated with elevated levels of perceived stress, neuroticism, sleeplessness, and anxiety, along with an increased risk of road accidents. In contrast, it correlates with diminished social skills and conscientiousness. These findings underscore the complex repercussions of smartphone addiction within online gaming and provide helpful suggestions for developing focused therapies, product designs, and user engagement tactics. Future studies should integrate a wider array of psychological characteristics and a more varied respondent demographic to improve generalizability.
Keywords
PLS-SEM ; smartphone addiction ; quantitative study ; online gamers
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References
  1. 1) L. von Kameke, "Number of gamers in southeast asia in 2022, by selected country," (2022). https://www.statista.com/statistics/1332796/sea-number-of-gamers-by-country/#statisticContainer
  2. 2) A. Chamarro, U. Oberst, R. Cladellas, and H. Fuster, "Effect of the frustration of psychological needs on addictive behaviors in mobile videogamers—the mediating role of use expectancies and time spent gaming," IJERPH, 17 (17) 6429 (2020) doi:10.3390/ijerph17176429
  3. 3) H. Marham, and R. Saputra, "User Continuance in Playing Mobile Online Games Analyzed by Using UTAUT and Game Design," in: 3rd International Conference on Informatics and Computational Sciences, ICICOS, 2019 doi:10.1109/ICICoS48119.2019.8982431
  4. 4) W. Jung, and K. Taehwan, "What motivates users to play mobile phone games more?," in: 2016 11th International Conference on Future Information Technology, FutureTech, 2016: p. Volume 393, Pages 9-14 doi:10.1007/978-981-10-1536-6_2
  5. 5) Madhu Bala Kaushik, Bhanu Mati Doshi, V. Gehlot, and Saroj Kumar Ranjan, "Unravelling the attention crisis: investigating student engagement in contemporary classrooms," Evergreen, 11 (2) 586-601 (2024) doi:10.5109/7183314
  6. 6) A. Kannan, R. Priyadharshini, and P. Sinduja, "The Influence of Online Gaming on Students’ Attitudes, Behaviors, and Academic Performance," in: 2nd International Conference on Business Analytics for Technology and Security, ICBATS, 2023 doi:10.1109/ICBATS57792.2023.10111396
  7. 7) M. Pampi, and M. Asghar, "A blur line between hobby and addiction: online video gaming among the youth of arunachal pradesh," Oriental Anthropologist, Volume 21 (1) 116-124 (2021) doi:10.1177/0972558X21994
  8. 8) S.S. Aljomaa, "Smartphone addiction among university students in the light of some variables," Computers in Human Behavior, (2016) doi:10.1016/j.chb.2016.03.041
  9. 9) R.A. Fabio, A. Stracuzzi, and R. Lo Faro, "Problematic smartphone use leads to behavioral and cognitive self-control deficits," IJERPH, 19 (12) 7445 (2022) doi:10.3390/ijerph19127445
  10. 10) M. Zhang, "Discovering the unequal interest in popular online educational games and its implications: a case study," British Journal of Educational Technology, 47 (2) 358-371 (2016) doi:10.1111/bjet.12236
  11. 11) R. Kowert, J. Vogelgesang, R. Festl, and T. Quandt, "Psychosocial causes and consequences of online video game play," Computers in Human Behavior, 45 51-58 (2015) doi:10.1016/j.chb.2014.11.074
  12. 12) A. Sarman, and N. Çiftci, "Relationship between smartphone addiction, loneliness, and depression in adolescents: a correlational structural equation modeling study," Journal of Pediatric Nursing, 76 150-159 (2024) doi:10.1016/j.pedn.2024.02.019
  13. 13) S. Bhagat, and D.J. Kim, "Examining the Role of Individuals’ Need for Online Social Interactions and Interpersonal Incompetence in Game Addiction," in: 2nd Americas Conference on Information Systems 2018: Digital Disruption, AMCIS, 2018
  14. 14) L.-C. Wickord, and C.M. Quaiser-Pohl, "Does the type of smartphone usage behavior influence problematic smartphone use and the related stress perception?," Behavioral Sciences, 12 (4) 99 (2022) doi:10.3390/bs12040099
  15. 15) A. Chamarro, U. Oberst, R. Cladellas, and H. Fuster, "Effect of the frustration of psychological needs on addictive behaviors in mobile videogamers—the mediating role of use expectancies and time spent gaming," International Journal of Environmental Research and Public Health, 17 (17) (2020) doi:10.3390/ijerph17176429
  16. 16) T.S. Susmitha, S.J. Rao, and D. Doshi, "Influence of smartphone addiction on sleep and mental wellbeing among dental students," Clinical Epidemiology and Global Health, 25 101447 (2024) doi:10.1016/j.cegh.2023.101447
  17. 17) J. Ge, Y. Liu, A. Zhang, and T. Shu, "The relationship between anxiety and smartphone addiction in the context of covid-19: the mediating effect of attentional control and executive dysfunction," Heliyon, 9 (2) e13273 (2023) doi:10.1016/j.heliyon.2023.e13273
  18. 18) 18) J.P. Merchán Tamayo, M.A. Rocchi, B. St-Denis, L. Bonneville, and S.G. Beaudry, "A motivational approach to understanding problematic smartphone use and negative outcomes in university students," Addictive Behaviors, 148 107842 (2024) doi:10.1016/j.addbeh.2023.107842
  19. 19) N. Phuksuksakul, K. Kanitpong, and S. Chantranuwathana, "Factors affecting behavior of mobile phone use while driving and effect of mobile phone use on driving performance," Accident Analysis & Prevention, 151 105945 (2021) doi:10.1016/j.aap.2020.105945
  20. 20) Q. Yang, H. Wang, H. Wu, W. Li, Y. Zhang, Y. Yao, X. Yuan, C. Chen, Y. Wang, Y. Zhong, W. Wang, M. Zhang, Y. Yang, H. Liu, and K. Zhang, "Effect of online game policy on smartphone game play time, addiction, and emotion in rural adolescents of china," BMC Psychiatry, 23 (1) 814 (2023) doi:10.1186/s12888-023-05325-3
  21. 21) E. Pivetta, L. Harkin, J. Billieux, E. Kanjo, and D.J. Kuss, "Problematic smartphone use: an empirically validated model," Computers in Human Behavior, 100 105-117 (2019) doi:10.1016/j.chb.2019.06.013
  22. 22) K. Anjaria, "Knowledge derivation from likert scale using z-numbers," Information Sciences, 590 234-252 (2022) doi:10.1016/j.ins.2022.01.024
  23. 23) J. Dombi, and T. Jónás, "Likert scale-based evaluations with flexible fuzzy numbers," Studies in Computational Intelligence, 814 167-187 (2021) doi:10.1007/978-3-030-51949-0_5
  24. 24) I. Kandasamy, W.B.V. Kandasamy, J.M. Obbineni, and F. Smarandache, "Indeterminate likert scale: feedback based on neutrosophy, its distance measures and clustering algorithm," Soft Computing, 24 (10) 7459-7468 (2020) doi:10.1007/s00500-019-04372-x
  25. 25) L. South, D. Saffo, O. Vitek, C. Dunne, and M.A. Borkin, "Effective use of likert scales in visualization evaluations: a systematic review," Computer Graphics Forum, 41 (3) 43-55 (2022) doi:10.31219/osf.io/6f3zs
  26. 26) H. Sujakhu, and W. Jutidamrongphan, "Generation of construction waste in hydroelectric power station in nepal," 11 (03) (2024) doi:10.5109/7236816
  27. 27) Achmad T. Nugraha, Gunawan Prayitno, Abdul W. Hasyim, and Fauzan Roziqin, "Social capital, collective action, and the development of agritourism for sustainable agriculture in rural indonesia," Evergreen, 8 (1) 1-12 (2021) doi:10.5109/4372255
  28. 28) Imma Widyawati Agustin, Ismu Rini Dwi Ari, S. Irawati, and E. Siankwilimba, "Strategy for implementing park-and-ride as a supporting facility for commuter movement," Evergreen, 11 (2) 1068-1080 (2024) doi:10.5109/7183406
  29. 29) G. Prayitno, A. Efendi, A. Hayat, Fikriyah, H. Tarno, A. Subagiyo, F. Gapsari, E. Siankwilimba, and Jacqueline Hiddlestone-Mumford, "Quality of life and food security in rural areas of indonesia: a case study of sedayulawas village, lamongan regency, indonesia," Evergreen, 10 (3) 1169-1185 (2023) doi:10.5109/7148438
  30. 30) A. Suzianti, Sarah Malemta Peranginangin, and Safira Nurul Fathia, "Strategic design to increase consumer purchase intentions for sustainable fashion products using theory of planned behavior," Evergreen, 11 (1) 448-461 (2024) doi:10.5109/7172307
  31. 31) R. Marlon Brando, R. Ardi, and R. Mayasari, "Conceptual Model of Household Consumer Behavior in Storing WEEE (Waste Electrical and Electronic Equipment)," in: Proceedings of the 3rd Asia Pacific Conference on Research in Industrial and Systems Engineering, 2020: pp. 219-224 doi:10.1145/3400934.3400975
  32. 32) Ghozali, Imam, "Structural Equation Modelling," XVI, Universitas Diponegoro Semarang, Semarang, 2006. ISBN: 979.704.300.2
  33. 33) S. Kumar, W.M. Lim, U. Sivarajah, and J. Kaur, "Artificial intelligence and blockchain integration in business: trends from a bibliometric-content analysis," Information Systems Frontiers, 25 (2) 871-896 (2023) doi:10.1007/s10796-022-10279-0
  34. 34) Tejda, J. J., & Punzalan, J. R. B. (2012). On the Misuse of Slovin’s Formula. The Philippine Statistician, 61, 129-136
  35. 35) BRIN, "Prosedur klirens etik," (2024). https://klirensetik.brin.go.id/prosedur
  36. 36) J. Kirchherr, L. Piscicelli, R. Bour, E. Kostense-Smit, J. Muller, A. Huibrechtse-Truijens, and M. Hekkert, "Barriers to the circular economy: evidence from the european union (eu)," Ecological Economics, 150 (April) 264-272 (2018) doi:10.1016/j.ecolecon.2018.04.028
  37. 37) S. Raifman, M.A. DeVost, J.C. Digitale, Y.-H. Chen, and M.D. Morris, "Respondent-driven sampling: a sampling method for hard-to-reach populations and beyond," Curr Epidemiol Rep, 9 (1) 38-47 (2022) doi:10.1007/s40471-022-00287-8
  38. 38) K. Leighton, S. Kardong-Edgren, T. Schneidereith, and C. Foisy-Doll, "Using social media and snowball sampling as an alternative recruitment strategy for research," Clinical Simulation in Nursing, 55 37-42 (2021) doi:10.1016/j.ecns.2021.03.006
  39. 39) S. Cutillas-Blasco, C. Ruiz-Gonzalez, L. Rueda-Ruzafa, C. Ropero-Padilla, P. Roman, and M. Rodriguez-Arrastia, "Experiences of young women in the practice of squirting: a descriptive qualitative study," The Journal of Sexual Medicine, (2024) doi:10.1093/jsxmed/qdae065
  40. 40) S. Horwood, and J. Anglim, "Personality and problematic smartphone use: a facet-level analysis using the five factor model and hexaco frameworks," Computers in Human Behavior, 85 349-359 (2018) doi:10.1016/j.chb.2018.04.013
  41. 41) C. Maier, J. Mattke, K. Pflügner, and T. Weitzel, "Smartphone use while driving: a fuzzy-set qualitative comparative analysis of personality profiles influencing frequent high-risk smartphone use while driving in germany," International Journal of Information Management, 55 102207 (2020) doi:10.1016/j.ijinfomgt.2020.102207
  42. 42) C. Kocak, E. Egrioglu, U. Yolcu, and C.H. Aladag, "Computing cronbach alpha reliability coefficient for fuzzy survey data," American Journal of Intelligent Systems, (2014) doi:10.5923/j.ajis.20140405.03
  43. 43) I. Saccardi, and J. Masthoff, "Adapting emotional support in teams: productivity, emotional stability, and conscientiousness," Front. Artif. Intell., 8 1449176 (2025) doi:10.3389/frai.2025.1449176
  44. 44) I. Arend, and K. Yuen, "Association between healthy neuroticism and eating behavior as revealed by the nki rockland sample," Sci Rep, 15 (1) 5858 (2025) doi:10.1038/s41598-025-85750-4
  45. 45) S. Tuncay, and A. Sarman, "The relationship between smartphone and computer games and anger in adolescents," Marmara Medical Journal, 36 (3) 303-311 (2023) doi:10.5472/marumj.1367799
  46. 46) K. Konsolakis, H. Hermens, C. Villalonga, M. Vollenbroek-Hutten, and O. Banos, "Human Behaviour Analysis through Smartphones," in: UCAmI 2018, MDPI, 2018: p. 1243 doi:10.3390/proceedings2191243
  47. 47) G.O. Dibben, A. Martin, C.B. Shore, A. Johnstone, C. McMellon, V. Palmer, J. Pugmire, J. Riddell, K. Skivington, V. Wells, L. McDaid, and S.A. Simpson, "Adolescents’ interactive electronic device use, sleep and mental health: a systematic review of prospective studies," Journal of Sleep Research, 32 (5) e13899 (2023) doi:10.1111/jsr.13899
  48. 48) N. Nursalam, D.I. Iswanti, N. Agustiningsih, F. Rohmi, B. Permana, and R.A. Erwansyah, "Factors contributing to online game addiction in adolescents: a systematic review," IJPHS, 12 (4) 1763 (2023) doi:10.11591/ijphs.v12i4.23260
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