Abstract
To build a predicting model for mental health status based on Web Usage Behavior, we collect data from 571 first-year graduate students using our own Internet Usage Behavior Check-List (IUBCL) and Psychological Health Inventory (PHI). We build six logistic regression models, in which Web usage behavior features are as independent variables while mental health status as dependent ones. We find that the accuracy is about 72.9% − 83.1%, which demonstrates it is applicable and feasible to identify each individual’s mental health status by analyzing his/her Web usage behaviors.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Amichai-Hamburger, Y., Fine, A., Goldstein, A.: The impact of internet interactivity and need for closure on consumer preference. Computers in Human Behavior 20, 103–117 (2004)
Bennett, P.: Abnormal & Clinical Psychology. The McGraw-Hill Companies, Inc., New York (2003)
Burton, M.C., Walther, J.B.: The value of web log data in use-based design and testing. Journal of Computer Mediated Communication 6(3) (2001)
Catledge, L.D., Pitkow, J.E.: Characterizing browsing strategies in the world-wide web. Computer Networks and ISDN Systems 27, 1065–1073 (1995)
Demyttenaere, K., Bruffaerts, R., Posada-Villa, J., Gasquet, I., Kovess, V.: Prevalence, severity, and unmet need for treatment of mental disorders in the world health organization world mental health surveys. The Journal of the American Medical Association 291, 2581–2590 (2004)
Ding, D.: The interpersonal communication in cyberspace:a theoretical and demonstrative research. PhD thesis, Nanjing Normal University (2003)
Egger, O., Rauterberg, M.: Internet behavior and addiction. Technical report, Swiss Federal Institute of Technology (ETH) Zurich (1996)
Eirinaki, M., Vazirgiannis, M.: Web mining for web personalization. ACM Transactions on Internet Technology 3(1), 1–27 (2003)
Fu, Z.: The relationship between adolescents’ internet service and pathological internet use. Master’s thesis, Jilin University (2007)
Huang, S.: Social activities in cyberspace: A research on youth’s Internet behavior. People’s Publishing House, Bejing (2008)
Kiesler, S., Siegel, J., McGuire, T.W.: Social psychological aspects of computer-mediated communication. American Psychologist 39(10), 1123–1134 (1984)
Krishnamurthy, S.: Contemporary research in e-marketing. Idea Group Publishing, USA (2005)
Lei, L., Yang, Y., Liu, M.: The relationship between adolescents’ neuroticism, internet service preference and internet addiction. Acta Psychologica Sinica 38(3), 375–381 (2006)
Leung, L.: Loneliness, self-disclosure, and icq use. CyberPsychology& Behavior 5(3), 241–251 (2002)
Li, X.: A study of the relationship between the preference of internet contents and personality characteristics of college students. Psychological Science 27(3), 559–562 (2004)
Lu, H.-Y., Palmgreen, P.C., Zimmerman, R.S., Lane, D.R., Alexander, A.L.J.: Personality traits as predictors of intentions to seek online information about stds and hiv/aids among junior and senior college students in taiwan. CyberPsychology& Behavior 9(5), 577–583 (2006)
Luo, M.: The Present Status of Mental Health Service Needs in Chinese Youth and Teenage. PhD thesis, Southwest university (2010)
Manasian, D.: Digital dilemmas: a survey of the internet society. Economist 25, 1–26 (2003)
Mazalin, D., Moore, S.: Internet use, identity development and social anxiety among young adults. Behaviour Change 21(2), 90–102 (2004)
Meltzer, H., Gatward, R., Goodman, R., Ford, T.: Mental health of children and adolescents in great britain. International Review of Psychiatry 15(1-2), 185–187 (2003)
Qiu, P., Yang, Y., Wu, F., Cao, X., Zhao, S., Ma, X.: The advancement and enlightment of researches about mental health for domestic and overseas floating population. Chinese Mental Health Journal 24(1), 64–68 (2010)
Rogers, M.K., Seigfried, K., Tidke, K.: Self-reported computer criminal behavior: A psychological analysis. Digital Investigation 3S, S116–S120 (2006)
Scealy, M., Phillips, J.G., Stevenson, R.: Shyness and anxiety as predictors of patterns of internet usage. Cyberpsychology & Behavior 5(6), 507–515 (2002)
Song, W., Mo, W.: Weizhen Song and Wenbin Mo. The compilation of psychological health inventory(phi). Psychological Science 2, 36–40 (1992)
Teoa, T.S.H., Limb, V.K.G., Laia, R.Y.C.: Intrinsic and extrinsic motivation in internet usage. Omegan. Mgmt. Sci. 27, 25–37 (1999)
Xiao, C.: Research methodology in cyber-psychology. Psychological Science 27(3), 726–728 (2004)
Young, K.S.: Internet addiction: the emergence of a new clinical disorder. Cyberpsychology and Behavior 3, 237–244 (1998)
Zhang, W.: Advanced textbook for SPSS statistical analysis. Higher Education Press, Beijing (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhu, T., Li, A., Ning, Y., Guan, Z. (2011). Predicting Mental Health Status Based on Web Usage Behavior. In: Zhong, N., Callaghan, V., Ghorbani, A.A., Hu, B. (eds) Active Media Technology. AMT 2011. Lecture Notes in Computer Science, vol 6890. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23620-4_22
Download citation
DOI: https://doi.org/10.1007/978-3-642-23620-4_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23619-8
Online ISBN: 978-3-642-23620-4
eBook Packages: Computer ScienceComputer Science (R0)