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AI & SOCIETY

pp 1–11 | Cite as

Is it possible to cure Internet addiction with the Internet?

  • William LiuEmail author
  • Farhaan Mirza
  • Ajit Narayanan
  • Seng Souligna
Open Forum
  • 283 Downloads

Abstract

Significant technological advancements over the last two decades have led to enhanced accessibility to computing devices and the Internet. Our society is experiencing an ever-growing integration of the Internet into everyday lives, and this has transformed the way we obtain and exchange information, communicate and interact with one another as well as conduct business. However, the term ‘Internet addiction’ (IA) has emerged from problematic and excessive Internet usage which leads to the development of addictive cyber-behaviours, causing health and social problems. The most commonly used intervention treatments such as motivational interviewing, cognitive-behavioural therapy, and retreat or inpatient care mix a variety of psychotherapy theories to treat such addictive behaviour and try to address underlying psychosocial issues that are often coexistent with IA, but the efficacy of these approaches is not yet proved. The aim of this paper is to address the question of whether it is possible to cure IA with the Internet. After detailing the current state-of-the-art including various IA definitions, risk factors, assessment methods and IA treatments, we outline the main research challenges that need to be solved. Moreover, we propose an Internet-based IA Recovery Framework (IARF) which uses AI to closely observe, visualize and analyse patient’s Internet usage behaviour for possible staged intervention. The proposal to use smart Internet-based systems to control IA can be expected to be controversial. This paper is intended to stimulate further discussion and research in IA recovery through Internet-based frameworks.

Keywords

Internet addiction Intervention Recovery framework Artificial intelligence 

References

  1. Al Sheibani S (2015) Internet addiction: a structured literature review and future research directions. Paper presented at the computer science, computer engineering, and social media (CSCESM), 2015 second international conference, Lodz, Poland, pp 175–181Google Scholar
  2. Bernardi S, Pallanti S (2009) Internet addiction: a descriptive clinical study focusing on comorbidities and dissociative symptoms. Compr Psychiatry 50(6):510–516.  https://doi.org/10.1016/j.comppsych.2008.11.011 CrossRefGoogle Scholar
  3. Brynjolfsson E, Oh JH (2012) The attention economy: measuring the value of free digital services on the internet. In: Proceedings of the 33rd international conference on information systems, Orlando. http://aisel.aisnet.org/icis2012/proceedings/EconomicsValue/9/. Accessed 14 Feb 2018
  4. Byun S, Ruffini C, Mills JE, Douglas AC, Niang M, Stepchenkova S, Lee SK, Loutfi J, Lee JK, Atallah M, Blanton M (2009) Internet addiction: metasynthesis of 1996–2006 quantitative research. CyberPsychol Behav 12(2):203–207CrossRefGoogle Scholar
  5. Carli V, Durkee T, Wasserman D, Hadlaczky G, Despalins R, Kramarz E, Kaess M (2013) The association between pathological internet use and comorbid psychopathology: a systematic review. Psychopathology 46(1):1–13.  https://doi.org/10.1159/000337971 CrossRefGoogle Scholar
  6. Clark LS (2011) Parental mediation theory for the digital age. Commun Theory 21(4):323–343CrossRefGoogle Scholar
  7. Dong G, Lu Q, Zhou H, Zhao X (2010) Impulse inhibition in people with internet addiction disorder: electrophysiological evidence from a Go/NoGo study. Neurosci Lett 485:138–142CrossRefGoogle Scholar
  8. Douglas AC, Mills JE, Niang M, Stepchenkova S, Byun S, Ruffini C et al (2008) Internet addiction: meta-synthesis of qualitative research for the decade 1996–2006. Comput Hum Behav 24(6):3027–3044CrossRefGoogle Scholar
  9. Ebeling-Witte S, Frank ML, Lester D (2007) Shyness, internet use, and personality. CyberPsychol Behav 10:713–716CrossRefGoogle Scholar
  10. Filler A, Kowatsch T, Haug S, Wahle F, Staake T, Fleisch E (2015) MobileCoach: a novel open source platform for the design of evidence-based, scalable and low-cost behavioral health interventions: overview and preliminary evaluation in the public health context. Paper presented at the wireless telecommunications symposium (WTS), New York, NY, USAGoogle Scholar
  11. Goldberg LR (1992) The development of markers for the Big-Five factor structure. Psychol Assess 4(1):26–26CrossRefGoogle Scholar
  12. Hardie E, Tee MY (2007) Excessive internet use: the role of personality, loneliness and social support networks in internet addiction. Aust J Emerg Technol Soc 5:34–47Google Scholar
  13. Haug S (2013) Mobile phone text messaging to reduce alcohol and tobacco use in young people—a narrative review. Smart Homecare Technol TeleHealth 1:11–19CrossRefGoogle Scholar
  14. Haug S, Schaub MP, Venzin V, Meyer C, John U (2013) Efficacy of a text message-based smoking cessation intervention for young people: a cluster randomized controlled trial. J Med Internet Res 15(8):e171CrossRefGoogle Scholar
  15. Haug S, Castro RP, Filler A, Kowatsch T, Fleisch E, Schaub MP (2014) Efficacy of an Internet and SMS-based integrated smoking cessation and alcohol intervention for smoking cessation in young people: study protocol of a two-arm cluster randomised controlled trial. BMC Public Health 14(1):1140CrossRefGoogle Scholar
  16. Heo J, Oh J, Subramanian SV, Kim Y, Kawachi I (2014) Addictive internet use among Korean adolescents: a national survey. PloS One 9(2):e87819CrossRefGoogle Scholar
  17. Karim AKMR, Nigar N (2014) The internet addiction test: assessing its psychometric properties in Bangladeshi culture. Asian J Psychiatry 10:75–83CrossRefGoogle Scholar
  18. Kim DI, Chung YJ, Lee EA, Kim DM, Cho YM (2008) Development of internet addiction proneness scale-short form (KS scale). Korea J Couns 9(4):1703–1722CrossRefGoogle Scholar
  19. Kim HJ, Shin KH, Swanger N (2009) Burnout and engagement: a comparative analysis using the Big Five personality dimensions. Int J Hosp Manag 28(1):96–104CrossRefGoogle Scholar
  20. Koh Y-S (2015) The Korean national policy for internet addiction. In: Internet addiction. Springer, Berlin, pp 219–233Google Scholar
  21. Kraut R, Kiesler S, Boneva B, Cummings J, Helgeson V, Crawford A (2002) Internet paradox revisited. J Soc Issues 58(1):49–74CrossRefGoogle Scholar
  22. Kuss DJ, Van Rooij AJ, Shorter GW, Griffiths MD, van de Mheen D (2013) Internet addiction in adolescents: prevalence and risk factors. Comput Hum Behav 29(5):1987–1996CrossRefGoogle Scholar
  23. Laconi S, Rodgers RF, Chabrol H (2014) The measurement of internet addiction: a critical review of existing scales and their psychometric properties. Comput Hum Behav 41:190–202CrossRefGoogle Scholar
  24. Liao X-h (2011) Analysis of the feasibility of exercise intervention in university students’ internet addiction on exercise psychology. Paper presented at the human health and biomedical engineering (HHBE), 2011 international conference, Jilin, China, pp 740–743Google Scholar
  25. Lim J-S, Bae Y-K, Kim S-S (2004) A learning system for internet addiction prevention. Paper presented at the advanced learning technologies, 2004. Proceedings. IEEE international conference, Joensuu, Finland, pp 836–837Google Scholar
  26. Liu Y-h, Dan Y-j (2009) A research on psychological attribution to internet addiction and intervention from exercise psychological perspective. J Beijing Sport Univ 8:017Google Scholar
  27. Liu J, Gao XP, Osunde I et al (2010) Increased regional homogeneity in internet addiction disorder a resting state functional magnetic resonance imaging study. China Med J 123:1904–1908Google Scholar
  28. Lortie CL, Guitton MJ (2013) Internet addiction assessment tools: dimensional structure and methodological status. Addiction 108(7):1207–1216CrossRefGoogle Scholar
  29. Meerkerk GJ, Van Den Eijnden RJJM, Vermulst AA, Garretsen HFL (2009) The compulsive internet use scale (CIUS): some psychometric properties. CyberPsychol Behav 12(1):1–6CrossRefGoogle Scholar
  30. Mesch GS (2009) Parental mediation, online activities, and cyberbullying. CyberPsychol Behav 12(4):387–393CrossRefGoogle Scholar
  31. Montag C, Kirsch P, Sauer C, Markett S, Reuter M (2012) The role of the CHRNA4 gene in internet addiction: a case-control study. J Addict Med 6:191–195CrossRefGoogle Scholar
  32. Morahan-Martin J (1999) The relationship between loneliness and internet use and abuse. CyberPsychol Behav 2:431–439CrossRefGoogle Scholar
  33. Müller KW, Dreier M, Beutel ME, Duven E, Giralt S, Wölfling K (2016) A hidden type of internet addiction? Intense and addictive use of social networking sites in adolescents. Comput Hum Behav 55:172–177CrossRefGoogle Scholar
  34. Pawlikowski M, Nader IW, Burger C, Stieger S, Brand M (2014) Pathological internet use—it is a multidimensional and not a unidimensional construct. Addict Theory Res.  https://doi.org/10.3109/16066359.2013.793313. Accessed 14 Feb 2018Google Scholar
  35. Ryu EJ, Choi KS, Seo JS, Nam BW (2004) The relationships of internet addiction, depression, and suicidal ideation in adolescents. J Korean Acad Nurs 34:102–110CrossRefGoogle Scholar
  36. Salicetia F (2015) Internet addiction disorder (IAD). Proced Soc Behav Sci 191:1372–1376CrossRefGoogle Scholar
  37. Shapiro NA, Goldsmith TD, Keck PE et al (2000) Psychiatric evaluation of individuals with problematic internet use. J Affect Disord 57:267–272CrossRefGoogle Scholar
  38. Shin W (2015) Parental socialization of children’s internet use: a qualitative approach. New Media Soc 17(5):649–665CrossRefGoogle Scholar
  39. Škařupová K, Ólafsson K, Blinka L (2015) Excessive internet use and its association with negative experiences: quasi-validation of a short scale in 25 European countries. Comput Hum Behav 53:118–123CrossRefGoogle Scholar
  40. Thompson SJ (1996) Internet connectivity: addiction and dependency study. Penn State McNair J 3(Summer):137–154Google Scholar
  41. Tufail MW, Khan R, Saleem M (2015) A link between internet addiction and attention deficit hyperactivity disorder symptoms in Pakistani undergraduates. J Psikol Malays 29(2):71–80Google Scholar
  42. Turel O, Mouttapa M, Donato E (2015) Preventing problematic internet use through video-based interventions: a theoretical model and empirical test. Behav Inf Technol 34(4):349–362CrossRefGoogle Scholar
  43. Van der Aa N, Overbeek G, Engels RCME, Scholte RHJ, Meerkerk G-J, Van den Eijnden RJJ, M. (2009) Daily and compulsive internet use and well-being in adolescence: a diathesis-stress model based on big five personality traits. J Youth Adolesc 38(6):765CrossRefGoogle Scholar
  44. Vermulst AA, Gerris JRM (2006) QBF. Quick Big Five persoonlijkheids-vragenlijst. Handleiding [Quick Big Five personality questionnaire. Guideline]. LDC, LeeuwardenGoogle Scholar
  45. Wartberg L, Petersen K-U, Kammerl R, Rosenkranz M, Thomasius R (2014) Psychometric validation of a German version of the compulsive internet use scale. Cyberpsychol Behav Soc Netw 17(2):99–103CrossRefGoogle Scholar
  46. Weijia S, Wenyong W (2013) A method-based on real-name system about internet addiction assessment and control. Paper presented at the computer science and network technology (ICCSNT), 2013 3rd international conference, Dalian, China, pp 306–309Google Scholar
  47. Whitty M (2005) The realness of cybercheating. Soc Sci Comput Rev 23:57–67CrossRefGoogle Scholar
  48. Widyanto L, McMurran M (2004) The psychometric properties of the internet addiction test. CyberPsychol Behav 7(4):443–450CrossRefGoogle Scholar
  49. Wölfling K, Müller K, Beutel M (2010) Diagnostic measures: scale for the Assessment of Internet and Computer game Addiction (AICA-S). In: Mücken D, Teske A, Rehbein F, te Wildt B (eds) Prevention, diagnostics, and therapy of computer game additcion. Pabst Science Publishers, Lengerich, pp 212–215Google Scholar
  50. Xiuqin H, Huimin Z, Mengchen L, Jinan W, Ying Z, Ran T (2010) Mental health, personality, and parental rearing styles of adolescents with Internet addiction disorder. Cyberpsychol Behav Soc Netw 13(4):401–406CrossRefGoogle Scholar
  51. Yen JY, Ko CH, Yen CF et al (2007) The comorbid psychiatric symptoms of internet addiction: attention deficit and hyperactivity disorder (ADHD), depression, social phobia, and hostility. J Adolesc Health 41:93–98CrossRefGoogle Scholar
  52. Youn S (2008) Parental influence and teens’ attitude toward online privacy protection. J Consum Aff 42(3):362–388CrossRefGoogle Scholar
  53. Young KS (1996) Internet addiction: the emergence of a new clinical disorder. In: Paper presented at the 104th annual meeting of the American Psychological Association, Toronto, 11 Aug 1996Google Scholar
  54. Young KS (1998) Internet addiction: the emergence of a new clinical disorder. CyberPsychol Behav 1(3):237–244CrossRefGoogle Scholar
  55. Young KS (1999) The research and controversy surrounding internet addiction. CyberPsychol Behav 2(5):381.  https://doi.org/10.1089/cpb.1999.2.381 CrossRefGoogle Scholar
  56. Young KS (2004) Internet addiction: a new clinical phenomenon and its consequences. Am Behav Sci 48(4):402–415CrossRefGoogle Scholar
  57. Young KS (2015) The evolution of Internet addiction disorder. In: Montag C, Reuter M (eds) Internet addiction. Springer, Cham, pp 3–17Google Scholar
  58. Yuan K, Qin W, Liu Y, Tian J (2011) Internet addiction: neuroimaging findings. Commun Integr Biol 4(6):637–639CrossRefGoogle Scholar
  59. Zhou Y, Lin FC, Du YS et al (2011) Gray matter abnormalities in internet addiction: a voxel-based morphometry study. Eur J Radiol 79:92–95CrossRefGoogle Scholar
  60. Zochil ML (2015) A literature review of internet addiction with a focus on university students. J Austr N Z Stud Serv Assoc (46):13–19Google Scholar

Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2018

Authors and Affiliations

  • William Liu
    • 1
    Email author
  • Farhaan Mirza
    • 1
  • Ajit Narayanan
    • 1
  • Seng Souligna
    • 1
  1. 1.School of Engineering, Computer and Mathematical SciencesAuckland University of TechnologyAucklandNew Zealand

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