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The exponential growth of technology use has transformed human behavior, bringing efficiency and global connectivity while simultaneously generating new forms of dependency. This dissertation examines how technology use influences addiction-like patterns among individuals, analyzing data collected through a structured online survey modeled on the Internet Addiction Test (IAT) by Dr. Kimberly Young (1998).
Using quantitative and qualitative analysis, the study explores correlations between time spent online, preferred digital platforms, psychological well-being, and self-reported dependence indicators. Descriptive statistics, correlation matrices, and cross-tabulations reveal distinct patterns indicating that prolonged engagement—especially with social media and mobile applications—shows significant associations with irritability, preoccupation, and sleep disturbance.
The findings align with Young’s original impulse-control disorder model, suggesting that technological overuse reflects behavioral addiction dynamics characterized by tolerance, withdrawal, and loss of control. Implications for counseling interventions, digital-well-being education, and self-regulation techniques are discussed.
"The Influence of Technology on Addiction Patterns", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 10, page no.b246-b263, October-2025, Available :http://www.ijrti.org/papers/IJRTI2510130.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator