AI Technology panic—is AI Dependence Bad for Mental Health? A Cross-Lagged Panel Model and the Mediating Roles of Motivations for AI Use Among Adolescents

References

• Gillath O, Ai T, Branicky M, Keshmiri S, Davison R, Spaulding R. Attachment and trust in artificial intelligence. Comput Human Behav. 2021;115:106607. doi:10.1016/j.chb.2020.106607
   Web of Science ®Google Scholar
• Song X, Xu B, Zhao Z. Can people experience romantic love for artificial intelligence? An empirical study of intelligent assistants. Inf Manag. 2022;59(103595). doi:10.1016/j.im.2022.103595
   Google Scholar
• Björling EA, Thomas K, Rose EJ, Cakmak M. Exploring Teens as Robot Operators, Users and Witnesses in the Wild. Front Robot AI. 2020;7:1–15. doi:10.3389/frobt.2020.00005
   PubMed Web of Science ®Google Scholar
• Laban G, Kappas A, Morrison V, Cross ES. Human-Robot Relationship: long-term effects on disclosure, perception and well-being. PsyArXiv. 2022. doi:10.31234/osf.io/6z5ry
   Google Scholar
• Ta V, Griffith C, Boatfield C, et al. User experiences of social support from companion chatbots in everyday contexts: thematic analysis. J Med Internet Res. 2020;22(3):1–10. doi:10.2196/16235
   Web of Science ®Google Scholar
• Croes EAJ, Antheunis ML. Can we be friends with Mitsuku? A longitudinal study on the process of relationship formation between humans and a social chatbot. J Soc Pers Relat. 2021;38(1):279–300. doi:10.1177/0265407520959463
   Web of Science ®Google Scholar
• Dao XQ, Le NB, Nguyen TMT. AI-Powered MOOCs: video Lecture Generation. ACM Int Conf Proceeding Ser. 2021;95–102. doi:10.1145/3459212.3459227
   Google Scholar
• Ahmed A, Hassan A, Aziz S, et al. Chatbot features for anxiety and depression: a scoping review. Health Informatics J. 2023;29(1):1–17. doi:10.1177/14604582221146719
   Web of Science ®Google Scholar
• Kats R Are Kids and Teens Using Smart Speakers?; 2018. Available from: https://www.insiderintelligence.com/content/the-smart-speaker-series-kids-teens-infographic. Accessed March 1, 2024.
   Google Scholar
• Bleu N 44 Latest Voice Search Statistics For 2023. bloggingwizard; 2023. Available from: https://bloggingwizard.com/voice-search-statistics/. Accessed March 1, 2024.
   Google Scholar
• Guzman AL, Lewis SC. Artificial intelligence and communication:A Human-Machine Communication research agenda. New Media Soc. 2020;22(1):70–86. doi:10.1177/1461444819858691
   Web of Science ®Google Scholar
• UNICEF. Adolescent Perspectives on Artificial Intelligence; 2021. Available from: https://www.unicef.org/globalinsight/stories/adolescent-perspectives-artificial-intelligence. Accessed March 1, 2024.
   Google Scholar
• JAGW. AI and Tomorrow’s Jobs; 2023. Available from: https://www.myja.org/news/latest/survey-teens-and-ai. Accessed March 1, 2024.
   Google Scholar
• Hasse A, Cortesi S, Lombana-Bermudez A, Gasser U Youth and artificial intelligence: where we stand.; 2019. Available from: https://cyber.harvard.edu/publication/2019/youth-and-artificial-intelligence/where-we-stand. Accessed 1 March 2024.
   Google Scholar
• Dai J, Scherf KS. Puberty and functional brain development in humans: convergence in findings? Dev Cogn Neurosci. 2019;39:100690. doi:10.1016/j.dcn.2019.100690
   PubMed Web of Science ®Google Scholar
• Shidhaye R. ScienceDirect Global priorities for improving access to mental health services for adolescents in the post-pandemic world. Curr Opin Psychol. 2023;53:101661. doi:10.1016/j.copsyc.2023.101661
   PubMed Web of Science ®Google Scholar
• Sisk LM, Gee DG. Stress and adolescence: vulnerability and opportunity during a sensitive window of development. Curr Opin Psychol. 2022;44:286–292. doi:10.1016/j.copsyc.2021.10.005
   PubMed Web of Science ®Google Scholar
• Crone EA, Konijn EA. Media use and brain development during adolescence. Nat Commun. 2018;9(1):1–10. doi:10.1038/s41467-018-03126-x
   PubMedGoogle Scholar
• Orben A, Przybylski AK, Blakemore SJ, Kievit RA. Windows of developmental sensitivity to social media. Nat Commun. 2022;13(1):1–10. doi:10.1038/s41467-022-29296-3
   PubMed Web of Science ®Google Scholar
• Hamilton I. Artificial Intelligence In Education: teachers’ Opinions On AI In The Classroom. Forbes Advis. 2023.
   Google Scholar
• Schiel J, Bobek BL, Schnieders JZ. High School Students’ Use and Impressions of AI Tools. 2023;1–38. Available from: extension://cdonnmffkdaoajfknoeeecmchibpmkmg/assets/pdf/web/viewer.html?file=https%3A%2F%2F<uri>www.act.org%2Fcontent%2Fdam%2Fact%2Fsecured%2Fdocuments%2FHigh-School-Students-Use-and-Impressions-of-AI-Tools-Accessible.pdf. Accessed March 1, 2024.
   Google Scholar
• The Learning Network. What Students are Saying About ChatGPT? The New York Times; 2023.
   Google Scholar
• Lo CK. What Is the Impact of ChatGPT on Education? A Rapid Review of the Literature. Educ Sci. 2023;13(4). doi:10.3390/educsci13040410
   Google Scholar
• Björling EA, Ling H, Bhatia S, Matarrese J. Sharing stressors with a social robot prototype: what embodiment do adolescents prefer? Int J Child-Computer Interact. 2021;28:100252. doi:10.1016/j.ijcci.2021.100252
   Google Scholar
• Wiederhold BK. “Alexa, Are You My Mom?” the Role of Artificial Intelligence in Child Development. Cyberpsychol Behav Soc Net. 2018;21(8):471–472. doi:10.1089/cyber.2018.29120.bkw
   PubMed Web of Science ®Google Scholar
• Xie T, Pentina I. Attachment Theory as a Framework to Understand Relationships with Social Chatbots: a Case Study of Replika. Proc 55th Hawaii Int Conf Syst Sci. 2022. doi:10.24251/hicss.2022.258
   Google Scholar
• Hu B, Mao Y, Kim KJ. How social anxiety leads to problematic use of conversational AI: the roles of loneliness, rumination, and mind perception. Comput Human Behav. 2023;143747. doi:10.1016/j.chb.2023.107760
   Web of Science ®Google Scholar
• Sandoval EB. Addiction to Social Robots: a Research Proposal. ACM/IEEE Int Conf Human-Robot Interact. 2019;526–527. doi:10.1109/HRI.2019.8673143
   Google Scholar
• Laestadius L, Bishop A, Gonzalez M, Illenčík D, Campos-Castillo C. Too human and not human enough: a grounded theory analysis of mental health harms from emotional dependence on the social chatbot Replika. New Media Soc. 2022;1(3):1–19. doi:10.1177/14614448221142007
   Google Scholar
• Ng YL. Exploring the association between use of conversational artificial intelligence and social capital: survey evidence from Hong Kong. New Media Soc. 2022;1(2):1–16. doi:10.1177/14614448221074047
   Google Scholar
• Xie T, Pentina I, Hancock T. Friend, mentor, lover: does chatbot engagement lead to psychological dependence? J Serv Manag. 2023;34(4):806–828. doi:10.1108/JOSM-02-2022-0072
   Web of Science ®Google Scholar
• Busch PA, Mccarthy S. Antecedents and consequences of problematic smartphone use: a systematic literature review of an emerging research area. Comput Human Behav. 2021;114:106414. doi:10.1016/j.chb.2020.106414
   Web of Science ®Google Scholar
• Orben A. The Sisyphean Cycle of Technology Panics. Perspect Psychol Sci. 2020;15(5):1143–1157. doi:10.1177/1745691620919372
   PubMedGoogle Scholar
• Pemberton A. Artificial intelligence helpful to teens? 2023. Newsday Reporter Available from: https://newsday.co.tt/2023/03/31/artificial-intelligence-helpful-to-teens/. Accessed March 1, 2024.
   Google Scholar
• Skjuve M, Følstad A, Fostervold KI, Brandtzaeg PB. My Chatbot Companion - a Study of Human-Chatbot Relationships. Int J Hum Comput Stud. 2021;149. doi:10.1016/j.ijhcs.2021.102601
   Web of Science ®Google Scholar
• Sundar SS, Lee EJ. Rethinking Communication in the Era of Artificial Intelligence. Hum Commun Res. 2022;48(3):379–385. doi:10.1093/hcr/hqac014
   Web of Science ®Google Scholar
• Brand M, Wegmann E, Stark R, et al. The Interaction of Person-Affect-Cognition-Execution (I-PACE) model for addictive behaviors: update, generalization to addictive behaviors beyond internet-use disorders, and specification of the process character of addictive behaviors. Neurosci Biobehav Rev. 2019;104:1–10. doi:10.1016/j.neubiorev.2019.06.032
   PubMed Web of Science ®Google Scholar
• Sullivan BM, George AM. The Association of Motives with Problematic Smartphone Use: a Systematic Review. Cyberpsychology J Psychosoc Res Cybersp. 2023;17(1):2. doi:10.5817/CP2023-1-2
   Web of Science ®Google Scholar
• Wang Y, Liu B, Zhang L, Zhang P. Anxiety, Depression, and Stress Are Associated With Internet Gaming Disorder During COVID-19: fear of Missing Out as a Mediator. Front Psychiatry. 2022;13:827519. doi:10.3389/fpsyt.2022.827519
   PubMed Web of Science ®Google Scholar
• Elhai JD, Levine JC, Hall BJ. The relationship between anxiety symptom severity and problematic smartphone use: a review of the literature and conceptual frameworks. J Anxiety Disord. 2019;62:45–52. doi:10.1016/j.janxdis.2018.11.005
   PubMed Web of Science ®Google Scholar
• Wadley G, Smith W, Koval P, Gross JJ. Digital Emotion Regulation. Curr Dir Psychol Sci. 2020;294:412–418. doi:10.1177/0963721420920592
   Google Scholar
• Zhao T, Cui J, Hu J, Dai Y, Zhou Y. Is Artificial Intelligence Customer Service Satisfactory? Insights Based on Microblog Data and User Interviews. Cyberpsychol Behav Soc Net. 2022;25(2):110–117. doi:10.1089/cyber.2021.0155
   PubMed Web of Science ®Google Scholar
• Kim A, Cho M, Ahn J, Sung Y. Effects of Gender and Relationship Type on the Response to Artificial Intelligence. Cyberpsychol Behav Soc Net. 2019;22(4):249–253. doi:10.1089/cyber.2018.0581
   PubMed Web of Science ®Google Scholar
• Goeders NE. The impact of stress on addiction. Eur Neuropsychopharmacol. 2003;13(6):435–441. doi:10.1016/j.euroneuro.2003.08.004
   PubMed Web of Science ®Google Scholar
• Sun J, Liu Q, Yu S. Child neglect, psychological abuse and smartphone addiction among Chinese adolescents: the roles of emotional intelligence and coping style. Comput Human Behav. 2019;90:74–83. doi:10.1016/j.chb.2018.08.032
   Web of Science ®Google Scholar
• Zhou N, Cao H, Wu L. A Four-Wave, Cross-Lagged Model of Problematic Internet Use and Mental Health Among Chinese College Students: disaggregation of Within-Person and Between-Person Effects. Dev Psychol. 2020;56(5):1009–1021. doi:10.1037/dev0000907.supp
   PubMed Web of Science ®Google Scholar
• Kardefelt-Winther D. A conceptual and methodological critique of Internet addiction research: towards a model of compensatory internet use. Comput Human Behav. 2014;31(1):351–354. doi:10.1016/j.chb.2013.10.059
   Web of Science ®Google Scholar
• Kraut R, Patterson M, Lundmark V, Kiesler S, Mukopadhyay T, Scherlis W. Internet Paradox:A Social Technology That Reduces Social Involvement and Psychological Well-Being ? S Afr Med J. 1998;53(9):1017–1031. doi:10.1037//0003-066X.53.9.1017
   Google Scholar
• Kiesler S, Siegel J, McGuire TW. Social psychological aspects of computer-mediated communication. Am Psychol. 1984;39(10):1123–1134. doi:10.1037/0003-066X.39.10.1123
   Web of Science ®Google Scholar
• Huang S, Lai X, Ke L, et al. Smartphone stress: concept, structure, and development of measurement among adolescents. Cyberpsychology J Psychosoc Res Cybersp. 2022;16(5):1.
   Web of Science ®Google Scholar
• Nick EA, Kilic Z, Nesi J, Telzer EH, Lindquist KA, Prinstein MJ. Adolescent Digital Stress: frequencies, Correlates, and Longitudinal Association With Depressive Symptoms. J Adolesc Heal. 2022;70(2):336–339. doi:10.1016/j.jadohealth.2021.08.025
   PubMed Web of Science ®Google Scholar
• Drouin M, Sprecher S, Nicola R, Perkins T. Is chatting with a sophisticated chatbot as good as chatting online or FTF with a stranger? Comput Human Behav. 2022;128:107100. doi:10.1016/j.chb.2021.107100
   Web of Science ®Google Scholar
• Cho Y. Trajectory of Smartphone Dependency and Associated Factors in School-Aged Children. Korean J Child Stud. 2019;40(6):49–62. doi:10.5723/kjcs.2019.40.6.49
   Google Scholar
• Choi TR, Drumwright ME. “OK, Google, why do I use you?” Motivations, post-consumption evaluations, and perceptions of voice AI assistants. Telemat Informatics. 2021;62:101628. doi:10.1016/j.tele.2021.101628
   Web of Science ®Google Scholar
• Ng YL, Lin Z. Exploring conversation topics in conversational artificial intelligence–based social mediated communities of practice. Comput Human Behav. 2022;134:107326. doi:10.1016/j.chb.2022.107326
   Web of Science ®Google Scholar
• Meng H, Cao H, Hao R, et al. Smartphone use motivation and problematic smartphone use in a national representative sample of Chinese adolescents: the mediating roles of smartphone use time for various activities. J Behav Addict. 2020;9(1):163–174. doi:10.1556/2006.2020.00004
   PubMed Web of Science ®Google Scholar
• Zhang MX, Wu AMS. Effects of childhood adversity on smartphone addiction: the multiple mediation of life history strategies and smartphone use motivations. Comput Human Behav. 2022;134:107298. doi:10.1016/j.chb.2022.107298
   Web of Science ®Google Scholar
• Hazan C, Shaver PR. Attachment as an organizational framework for research on close relationships attachment as an organizational framework for research on close relationships. Psychol Inq. 1994;5(1):1–22. doi:10.1207/s15327965pli0501
   Google Scholar
• Kim E, Koh E. Avoidant attachment and smartphone addiction in college students: the mediating effects of anxiety and self-esteem. Comput Human Behav. 2018;84:264–271. doi:10.1016/j.chb.2018.02.037
   Web of Science ®Google Scholar
• Baumeister RF, Leary MR. The Need to Belong: desire for Interpersonal Attachments as a Fundamental Human Motivation. Psychol Bull. 1995;117(3):497–529. doi:10.1037/0033-2909.117.3.497
   PubMed Web of Science ®Google Scholar
• Gao W, Liu Z, Li J. How does social presence influence SNS addiction? A belongingness theory perspective. Comput Human Behav. 2017;77:347–355. doi:10.1016/j.chb.2017.09.002
   Web of Science ®Google Scholar
• Baumeister RF. Suicide as escape from self. Psychol Rev. 1990;97(1):90–113. doi:10.1037/0033-295X.97.1.90
   PubMed Web of Science ®Google Scholar
• Baumeister RF. Escaping the Self: Alcoholism, Spirituality, Masochism, and Other Flights from the Burden of Selfhood. Harper Collins; 1991.
   Google Scholar
• Kwon JH, Chung CS, Lee J. The effects of escape from self and interpersonal relationship on the pathological use of internet games. Community Ment Health J. 2011;47(1):113–121. doi:10.1007/s10597-009-9236-1
   PubMed Web of Science ®Google Scholar
• Walburg V, Mialhes A, Moncla D. Does school-related burnout influence problematic Facebook use? Child Youth Serv Rev. 2016;61:327–331. doi:10.1016/j.childyouth.2016.01.009
   Web of Science ®Google Scholar
• Teng Z, Pontes HM, Nie Q, Griffiths MD, Guo C. Depression and anxiety symptoms associated with internet gaming disorder before and during the COVID-19 pandemic: a longitudinal study. J Behav Addict. 2021;10(1):169–180. doi:10.1556/2006.2021.00016
   PubMed Web of Science ®Google Scholar
• Blumler JG. The role of theory in uses and gratifications studies. Communic Res. 1979;6(1):9–36. doi:10.1177/009365027900600102
   Web of Science ®Google Scholar
• Whiting A, Williams D. Why people use social media: a uses and gratifications approach. Qual Mark Res an Int J. 2013;16(4):362–369. doi:10.1108/QMR-06-2013-0041
   Google Scholar
• Karmakar I. A review of IT addiction in IS research. AMCIS 2020 Proceedings. 2020;19:1–10.
   Google Scholar
• Huang S, Lai X, Zhao X, et al. Beyond Screen Time: exploring the Associations between Types of Smartphone Use Content and Adolescents’ Social Relationships. Int J Environ Res Public Health. 2022;19(15):8940. doi:10.3390/ijerph19158940
   PubMed Web of Science ®Google Scholar
• Lai X, Nie C, Huang S, Yao Y, Li Y, Dai X. Classes of problematic smartphone use and information and communication technology(ICT) self-efficacy. J Appl Dev Psychol. 2022;83(19):101481. doi:10.1016/j.appdev.2022.101481
   Google Scholar
• Leung L. Stressful Life Events, Motives for Internet Use, and Social Support Among Digital Kids. CyberPsychol Behav. 2007;10(2):204–215. doi:10.1089/cpb.2006.9967
   PubMedGoogle Scholar
• Fischer-Grote L, Kothgassner OD, Felnhofer A. Risk factors for problematic smartphone use in children and adolescents: a review of existing literature. Neuropsychiatrie. 2019;33(4):179–190. doi:10.1007/s40211-019-00319-8
   PubMed Web of Science ®Google Scholar
• Soh PCH, Charlton JP, Chew KW. The influence of parental and peer attachment on internet usage motives and addiction. First Monday. 2014;19(7). doi:10.5210/fm.v19i7.5099
   Google Scholar
• Kim JH, Seo M, David P. Alleviating depression only to become problematic mobile phone users: can face-to-face communication be the antidote? Comput Human Behav. 2015;51(PA):440–447. doi:10.1016/j.chb.2015.05.030
   Google Scholar
• Gözde H, Gürbüz A, Demir T, Özcan BG. Use of social network sites among depressed adolescents. Behav Inf Technol. 2017;36(5):517–523. doi:10.1080/0144929X.2016.1262898
   Web of Science ®Google Scholar
• Cohen J. A power primer. Psychol Bull. 1992;112:155–159. doi:10.1037/0033-2909.112.1.155
   PubMed Web of Science ®Google Scholar
• Andreas JB, Brunborg GS. Depressive symptomatology among Norwegian adolescent boys and girls: the patient health Questionnaire-9 (PHQ-9) psychometric properties and correlates. Front Psychol. 2017;8(887):1–11. doi:10.3389/fpsyg.2017.00887
   PubMedGoogle Scholar
• Spitzer RL, Kroenke K, Williams JBW, Löwe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006;166(10):1092–1097. doi:10.1001/archinte.166.10.1092
   PubMed Web of Science ®Google Scholar
• Kwon M, Kim DJ, Cho H, Yang S. The smartphone addiction scale: development and validation of a short version for adolescents. PLoS One. 2013;8(12):1–7. doi:10.1371/journal.pone.0083558
   Web of Science ®Google Scholar
• Kim D, Lee Y, Lee J, Nam JEK, Chung Y. Development of Korean smartphone addiction proneness scale for youth. PLoS One. 2014;9(5):1–8. doi:10.1371/journal.pone.0097920
   Web of Science ®Google Scholar
• Lin YH, Lin SH, Yang CHC, Kuo TBJ. Psychopathology of Everyday Life in the 21st Century: smartphone Addiction. In: Montag C, Reuter M, editors. Internet Addiction: Neuroscientific Approaches and Therapeutical Implications Including Smartphone Addiction. Springer Nature; 2017.
   Google Scholar
• Huang S, Lai X, Xue Y, Zhang C, Wang Y. A network analysis of problematic smartphone use symptoms in a student sample. J Behav Addict. 2021;9(4):1032–1043. doi:10.1556/2006.2020.00098
   Web of Science ®Google Scholar
• Huang S, Lai X, Li Y, et al. Do the core symptoms play key roles in the development of problematic smartphone use symptoms. Front Psyciatry. 2022;13:959103. doi:10.3389/fpsyt.2022.959103
   PubMed Web of Science ®Google Scholar
• Cho CH, Lee SY, Keel YH. A study on consumers’ perception of and use motivation of Artificial Intelligence (AI) speaker. J Korea Contents Assoc. 2019;19(3):138–154.
   Google Scholar
• Preacher KJ. Advances in mediation analysis: a survey and synthesis of new developments. Annu Rev Psychol. 2015;66:825–852. doi:10.1146/annurev-psych-010814-015258
   PubMed Web of Science ®Google Scholar
• Cole DA, Maxwell SE. Testing Mediational Models with Longitudinal Data: questions and Tips in the Use of Structural Equation Modeling. J Abnorm Psychol. 2003;112(4):558–577. doi:10.1037/0021-843X.112.4.558
   PubMed Web of Science ®Google Scholar
• Roeder KM, Cole DA. Prospective Relation Between Peer Victimization and Suicidal Ideation: potential Cognitive Mediators. Cognit Ther Res. 2018;42(6):769–781. doi:10.1007/s10608-018-9939-0
   Web of Science ®Google Scholar
• Currie C, Zanotti C, Currie D, et al. Social Determinants of Health and Well-Being among Young People. Health Behaviour in School-Aged Children (HBSC) Study: international Report from the 2009/2010 Survey. Int J Med. 2012. doi:10.1358/dof.2005.030.10.942816
   Google Scholar
• Orth U, Meier LL, Bühler JL, et al. Effect Size Guidelines for Cross-Lagged Effects. Psychol Methods. 2022. doi:10.1037/met0000499
   PubMedGoogle Scholar
• Shin M, Juventin M, Ting J, Chu W, Manor Y, Kemps E. Online media consumption and depression in young people: a systematic review and meta-analysis. Comput Human Behav. 2022;128:107129. doi:10.1016/j.chb.2021.107129
   Web of Science ®Google Scholar
• Ng YL. A longtidudianl model of continued acceptance of conversational artificial intelligence. SSRN. 2023;1–35. doi:10.2139/ssrn.4348453
   Google Scholar
• Xie Y, Zhao S, Zhou P, Liang C. Understanding Continued Use Intention of AI Assistants. J Comput Inf Syst. 2023;1(2):1–14. doi:10.1080/08874417.2023.2167134
   Google Scholar
• Jackson LA, Liang WJ. Cultural differences in social networking site use: a comparative study of China and the United States. Comput Human Behav. 2013;29(3):910–921. doi:10.1016/j.chb.2012.11.024
   Web of Science ®Google Scholar