Abbas, M., Jam, F. A., & Khan, T. I. (2024). Is it harmful or helpful? Examining the causes and consequences of generative AI usage among university students. International Journal of Educational Technology in Higher Education, 21(10), 1–22. https://doi.org/10.1186/s41239-024-00444-7

Article  Google Scholar 

Alhaidry, H. M., Fatani, B., Alrayes, J. O., Almana, A. M., & Alfhaed, N. K. (2023). ChatGPT in dentistry: A comprehensive review. Cureus, 15(4), 1–8. https://doi.org/10.7759/cureus.38317

Article  Google Scholar 

Alimoradi, Z., Broström, A., Potenza, M. N., Lin, C.-Y., & Pakpour, A. H. (2024). Associations between behavioral addictions and mental health concerns during the COVID-19 pandemic: A systematic review and meta-analysis. Current Addiction Reports, 11(3), 565–587. https://doi.org/10.1007/s40429-024-00555-1

Article  Google Scholar 

Aljanabi, M., Ghazi, M., Ali, A. H., & Abed, S. A. (2023). ChatGpt: Open possibilities. Iraqi Journal for Computer Science and Mathematics, 4(1), 62–64. https://doi.org/10.52866/ijcsm.2023.01.01.0018

Article  Google Scholar 

Almourad, M., McAlaney, J., Skinner, T., Pleya, M., & Ali, R. (2020). Defining digital addiction: Key features from the literature. Psihologija, 53(3), 237–253. https://doi.org/10.2298/psi191029017a

Article  Google Scholar 

André, F., Broman, N., Håkansson, A., & Claesdotter-Knutsson, E. (2020). Gaming addiction, problematic gaming and engaged gaming – Prevalence and associated characteristics. Addictive Behaviors Reports, 12(100324), 1–7. https://doi.org/10.1016/j.abrep.2020.100324

Article  Google Scholar 

Andreassen, C. S., Billieux, J., Griffiths, M. D., Kuss, D. J., Demetrovics, Z., Mazzoni, E., & Pallesen, S. (2016). The relationship between addictive use of social media and video games and symptoms of psychiatric disorders: A large-scale cross-sectional study. Psychology of Addictive Behaviors, 30(2), 252–262. https://doi.org/10.1037/adb0000160

Article  Google Scholar 

Arıcak, O. T., Dinç, M., Yay, M., & Griffiths, M. D. (2018). İnternet Oyun Oynama Bozukluğu Ölçeği Kısa Formu’nun (İOOBÖ9-KF) Türkçeye uyarlanması: Geçerlik ve güvenirlik çalışması. Addicta: The Turkish Journal on Addictions, 6(1), 1–22.https://doi.org/10.15805/addicta.2018.5.4.0027

Augner, C., Vlasak, T., Aichhorn, W., & Barth, A. (2023). The association between problematic smartphone use and symptoms of anxiety and depression—a meta-analysis. Journal of Public Health, 45(1), 193–201. https://doi.org/10.1093/pubmed/fdab350

Article  PubMed  Google Scholar 

Bai, L., Liu, X., & Su, J. (2023). ChatGPT: The cognitive effects on learning and memory. Brain-X, 1(3), e30. https://doi.org/10.1002/brx2.30

Article  Google Scholar 

Baker, F. B., & Kim, S. H. (2017). The basics of item response theory using R. Springer.

Book  Google Scholar 

Barberis, N., Sanchez-Ruiz, M. J., Cannavò, M., Calaresi, D., & Verrastro, V. (2023). The dark triad and trait emotional intelligenceas predictors of problematic social media use and engagement: The mediating role of the fear of missing out. Clinical Neuropsychiatry, 20(2), 129–140. https://doi.org/10.36131/cnfioritieditore20230205

Article  PubMed  PubMed Central  Google Scholar 

Baumeister, R. F., & Vohs, K. D. (2007). Self-regulation, ego depletion, and motivation. Social and Personality Psychology Compass, 1(1), 115–128. https://doi.org/10.1111/j.1751-9004.2007.00001.x

Article  Google Scholar 

Bellis, M., Sharp, C., Hughes, K., & Davies, A. (2021). Digital overuse and addictive traits and their relationship with mental well-being and socio-demographic factors: A national population survey for wales. Frontiers in Public Health, 16(9), 1–12. https://doi.org/10.3389/fpubh.2021.585715

Article  Google Scholar 

Bhattacharya, P., Prasad, V. K., Verma, A., Gupta, D., Sapsomboon, A., Viriyasitavat, W., & Dhiman, G. (2024). Demystifying ChatGPT: An in-depth survey of OpenAI’s robust large language models. Archives of Computational Methods in Engineering, 1–44. https://doi.org/10.1007/s11831-024-10115-5

Bojić, L., Matthes, J., & Cabarkapa, M. (2024). Amplification of addictive new media features in the metaverse. arXiv. Retrieved November 10, 2024, from https://arxiv.org/pdf/2401.03461

Brown, T. A. (2015). Confirmatory factor analysis for applied research (2nd ed.). Guilford Publications.

Google Scholar 

Cambria, E. (2024). Natural language understanding spsampsps AI. In Understanding natural language understanding (pp. 1–39). Springer. https://doi.org/10.1007/978-3-031-73974-3_1

Chen, F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 14(3), 464–504. https://doi.org/10.1080/10705510701301834

Article  Google Scholar 

Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 9(2), 233–255. https://doi.org/10.1207/s15328007sem0902_5

Article  Google Scholar 

Chou, C., & Hsiao, M. C. (2000). Internet addiction, usage, gratification, and pleasure experience: The taiwan college students’ case. Computers & Education, 35(1), 65–80. https://doi.org/10.1016/s0360-1315(00)00019-1

Article  Google Scholar 

DeVellis, R. F. (2016). Scale development: Theory and applications (Vol. 26). Sage Publications.

Dresp-Langley, B., & Hutt, A. (2022). Digital addiction and sleep. International Journal of Environmental Research and Public Health, 19(11), 1–19. https://doi.org/10.3390/ijerph19116910

Article  CAS  Google Scholar 

Dubey, S., Ghosh, R., Chatterjee, S., Dubey, M., Das, S., & León, J. (2024). Redefining cognitive domains in the era of ChatGPT: A comprehensive analysis of artificial intelligence’s influence and future implications. Medical Research Archives, 12(6), 1–10. https://doi.org/10.18103/mra.v12i6.5383

Article  Google Scholar 

Duong, C. D., Vu, T. N., Ngo, T. V. N., Do, N. D., & Tran, N. M. (2024). Reduced student life satisfaction and academic performance: Unraveling the dark side of ChatGPT in the higher education context. International Journal of Human-Computer Interaction, 1, 1–16. https://doi.org/10.1080/10447318.2024.2356361

Article  Google Scholar 

Dutta, D., & Mishra, S. K. (2024). “Technology is killing me!”: The moderating effect of organization home-work interface on the linkage between technostress and stress at work. Information Technology & People, 37(6), 2203–2222. https://doi.org/10.1108/itp-03-2022-0169

Article  Google Scholar 

Feng, M., Xia, A., & Xia, X. (2023). The association between ChatGPT usage and college students’ online learning burnout: The mediating role of self-control. Twelfth International Conference of Educational Innovation through Technology (EITT), 2023, 209–212. https://doi.org/10.1109/eitt61659.2023.00046

Article  Google Scholar 

Fraley, R. C., Waller, N. G., & Brennan, K. A. (2000). An item response theory analysis of self-report measures of adult attachment. Journal of Personality and Social Psychology, 78(2), 350–365. https://doi.org/10.1037/0022-3514.78.2.350

Article  CAS  PubMed  Google Scholar 

Franze, A., Galanis, C. R., & King, D. L. (2023). Social chatbot use (e.g., ChatGPT) among individuals with social deficits: Risks and opportunities. Journal of Behavioral Addictions, 12(4), 871–872. https://doi.org/10.1556/2006.2023.00057

Article  PubMed  PubMed Central  Google Scholar 

Gammoh, L. A. (2024). ChatGPT in academia: Exploring university students’ risks, misuses, and challenges in Jordan. Journal of Further and Higher Education, 48(6), 608–624. https://doi.org/10.1080/0309877x.2024.2378298

Article  Google Scholar 

Gugushvili, N., Täht, K., Schruff-Lim, E. M., Ruiter, R. A., & Verduyn, P. (2024). The association between neuroticism and problematic social networking sites use: The role of fear of missing out and self-control. Psychological Reports, 127(4), 1727–1750. https://doi.org/10.1177/00332941221142003

Article  PubMed  Google Scholar 

Gültekin, M., & Şahin, M. (2024). The use of artificial intelligence in mental health services in Turkey: What do mental health professionals think? Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 18(1), Article 6. https://doi.org/10.5817/CP2024-1-6

Article  Google Scholar 

Hans, A., Singh, N. T., Kumar, R., Kumar, A., Choubey, A., & Suresh. (2024). The psychology behind addictive applications in technology. 2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT) (pp. 669–672). https://doi.org/10.1109/ic2pct60090.2024.10486603

Harwell, M., Stone, C. A., Hsu, T.-C., & Kirisci, L. (1996). Monte Carlo studies in item response theory. Applied Psychological Measurement, 20(2), 101–125. https://doi.org/10.1177/014662169602000201

Article  Google Scholar 

Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach (2nd ed.). The Guilford Press.

Google Scholar 

Hosseini, M., Gao, C. A., Liebovitz, D. M., Carvalho, A. M., Ahmad, F. S., Luo, Y., MacDonald, N., Holmes, K. L., & Kho, A. (2023). An exploratory survey about using ChatGPT in education, healthcare, and research. PLoS ONE, 18(10), 1–14. https://doi.org/10.1371/journal.pone.0292216

Article  CAS  Google Scholar 

Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118

Article  Google Scholar 

Huang, Y., & Huang, H. (2024). Exploring the effect of attachment on technology addiction to generative AI chatbots: A structural equation modeling analysis. International Journal of Human–Computer Interaction, 1–10. https://doi.org/10.1080/10447318.2024.2426029

Karakose, T., Yıldırım, B., Tülübaş, T., & Kardas, A. (2023). A comprehensive review on emerging trends in the dynamic evolution of digital addiction and depression. Frontiers in Psychology, 14(1126815), 1–24. https://doi.org/10.3389/fpsyg.2023.1126815

Article  Google Scholar 

Kayiş, A. R., Satici, S. A., Yilmaz, M. F., Şimşek, D., Ceyhan, E., & Bakioğlu, F. (2016). Big five-personality trait and internet addiction: A meta-analytic review. Computers in Human Behavior, 63, 35–40. https://doi.org/10.1016/j.chb.2016.05.012

Article  Google Scholar 

Kesici, A. (2020). The effect of conscientiousness and gender on digital game addiction in high schoolstudents. Journal of Education and Future, 18, 43–53. https://doi.org/10.30786/jef.543339

Article