IJLTEMAS International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS) IJLTEMAS 2278-2540 IJLTEMAS 189 10.51583/IJLTEMAS.2026.150700184 Education Understanding the Relationship Between Empathy and Problematic Internet Use Among College Students in Coimbatore S Vasanth Department of Psychology, Hindusthan College of Arts & Science, Coimbatore, Tamil Nadu, India India Sanjaykumar M. Department of Psychology, Hindusthan College of Arts & Science, Coimbatore, Tamil Nadu, India India 15 7 2501 2508 13 08 2026 18 08 2026 29 08 2026 Empathy Problematic Internet Use College Students Digital Behavior Psychological Well-Being Abstract

Digital tech's fast rise is changing how college students live and learn. Because the web opens doors to knowledge, chat, and fun, spending too much time online might cause trouble - especially when it starts harming mental health or real-life connections. Feeling what others feel, known as empathy, helps people build stronger bonds and make better choices online. Yet few studies have looked at how this emotional skill links to unhealthy internet habits among young adults in India, even though cities like Coimbatore are growing quickly. With that in mind, this work looks into how empathy ties to intense online use in student circles there, while also checking if age, gender, or background makes a difference. This investigation uses numbers to explore connections through a structured observation method. From different schools in Coimbatore, three hundred young adults - between eighteen and twenty-five - are included based on accessibility. Information comes from established written surveys filled out by participants themselves. The sense of understanding others shows up via the Interpersonal Reactivity Index, created by Davis, capturing several sides of empathy. How intensely someone gets caught in online activity appears through the PIUQ tool designed by Pramod and Raju. A form gathers details like gender, age, student level, where someone lives, sibling count, alongside household earnings each year. Data from that form get studied through basic summaries, checks for links between traits, comparisons across separate groups, also tests looking at differences in three or more clusters. Findings show college learners have average empathy along with some issues around internet habits. When one goes up - empathy - the other tends to go down: heavy online activity links to less empathetic responses. Females score higher on care for others’ feelings, whereas males lean toward more intense web use patterns. Those still earning bachelor's degrees engage more intensely online than those in advanced study programs. Living in cities nudges internet usage upward just a bit when compared to countryside peers. Age does not shift these patterns much;neither do how many brothers or sisters someone has nor household earnings. Empathy and screen time stay steady regardless of years lived, sibling count, or financial background. One thing stands clear. Socio-emotional skills matter when it comes to how young adults act online. This work adds to what we already know about mental aspects tied to heavy internet use. Empathy should be part of any effort aimed at better web routines in university settings. Finding less empathy tied to heavier online struggles in university youth.

 References American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Washington, DC: Author. Baron-Cohen, S., Wheelwright, S. (2004). The empathy quotient: An investigation of adults with Asperger syndrome or high functioning autism. Journal of Autism and Developmental Disorders, 34(2), 163–175. https://doi.org/10.1023/B:JADD.0000022607.19833.00 Caplan, S.E. (2003). Preference for online social interaction: A theory of problematic internet use and psychosocial well-being. Communication Research, 30(6), 625–648. https://doi.org/10.1177/0093650203257842 Caplan, S.E. (2010). Theory and measurement of generalized problematic internet use: A two-step approach. Computers in Human Behavior, 26(5), 1089–1097. https://doi.org/10.1016/j.chb.2010.03.012 Cheng, C., Li, A.Y. (2014). Internet addiction prevalence and quality of life: A meta-analysis across 31 nations. Cyberpsychology, Behavior, and Social Networking, 17(12), 755–760. https://doi.org/10.1089/cyber.2014.0317 Davis, M.H. (1980). Interpersonal reactivity index (IRI) manual. College Park: University of Maryland. Davis, M.H. (1983). Measuring individual differences in empathy: Evidence for a multidimensional approach. Journal of Personality and Social Psychology, 44(1), 113–126. https://doi.org/10.1037/0022-3514.44.1.113 Davis, R.A. (2001). A cognitive-behavioral model of pathological internet use. Computers in Human Behavior, 17(2), 187–195. https://doi.org/10.1016/S0747-5632(00)00041-8 Decety, J., Jackson, P.L. (2004). The functional architecture of human empathy. Behavioral and Cognitive Neuroscience Reviews, 3(2), 71–100. https://doi.org/10.1177/1534582304267187 Eisenberg, N., Lennon, R. (1983). Sex differences in empathy and related capacities. Psychological Bulletin, 94(1), 100–131. https://doi.org/10.1037/0033-2909.94.1.100 Geng, J., Han, L., Gao, F., Jou, M., Huang, C. (2018). Internet addiction and problematic internet use among adolescents in China: A meta-analysis. Computers in Human Behavior, 81, 266–275. https://doi.org/10.1016/j.chb.2017.12.015 Griffiths, M.D. (2005). A components model of addiction within a biopsychosocial framework. Journal of Substance Use, 10(4), 191–197. https://doi.org/10.1080/14659890500114359Jamovi Project. (2022). Jamovi (Version 2.3) [Computer software]. Retrieved from https://www.jamovi.org Kandell, J.J. (1998). Internet addiction on campus: The vulnerability of college students. CyberPsychology & Behavior, 1(1), 11–17. https://doi.org/10.1089/cpb.1998.1.11 Kline, P. (2013). Handbook of psychological testing (2nd ed.). London: Routledge. Kuss, D.J., Griffiths, M.D. (2012). Internet addiction: A systematic review of epidemiological research for the last decade. Current Pharmaceutical Design, 18(12), 4907–4918. https://doi.org/10.2174/138161212802884418 Laible, D., Carlo, G. (2004). The differential relations of maternal and paternal support and control to adolescent social competence, self-worth, and sympathy. Journal of Adolescent Research, 19(6), 759–782. Meerkerk, G.J., Van Den Eijnden, R.J.J.M., Vermulst, A.A., Garretsen, H.F.L. (2009). The compulsive internet use scale (CIUS): Some psychometric properties. CyberPsychology & Behavior, 12(1), 1–6. Odaci, H., Kalkan, M. (2010). Problematic internet use, loneliness and dating anxiety among young adult university students. Computers & Education, 55(3), 1091–1097. https://doi.org/10.1016/j.compedu.2010.05.006 Pramod, C., Raju, M.V.R. (2008). Development of problematic internet use questionnaire. Journal of Psychological Research, 52(1), 35–40. Pramod, C., Raju, M.V.R. (2008). Problematic internet use questionnaire manual. Mysore: Department of Psychology. Rogers, C.R. (1959). A theory of therapy, personality and interpersonal relationships as developed in the client-centered framework. In S. Koch (Ed.), Psychology: A study of a science (pp. 184–256). New York: McGraw-Hill. Rosenberg, M. (1965). Society and the adolescent self-image. Princeton, NJ: Princeton University Press. Sharma, A., Sharma, R., Wavare, R. (2015). Academic stress and internet addiction among adolescents. International Journal of Applied Research, 1(9), 512–515. Suler, J. (2004). The online disinhibition effect. CyberPsychology & Behavior, 7(3), 321–326.Tokunaga, R.S. (2015). Perspectives on internet addiction, problematic internet use, and deficient self-regulation. Communication Research, 42(3), 425–446. Vallerand, R.J. (2012). The role of passion in sustainable psychological well-being. Oxford: Oxford University Press. Young, K.S. (1998). Internet addiction: The emergence of a new clinical disorder. CyberPsychology & Behavior, 1(3), 237–244. https://doi.org/10.1089/cpb.1998.1.237 Young, K.S. (2004). Internet addiction: A new clinical phenomenon and its consequences. American Behavioral Scientist, 48(4), 402–415. https://doi.org/10.1177/0002764204270278 Zhang, Y., Qin, L., Ren, P. (2018). Adolescents’ academic engagement mediates the relationship between internet addiction and academic achievement. Journal of Adolescence, 68, 151–158. https://doi.org/10.1016/j.adolescence.2018.08.002