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Deciphering the impact and evolution of gaming in everyday life: a machine learning centric analysis.

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dc.contributor.author Hossen, Md. Tamim
dc.date.accessioned 2025-09-14T10:01:14Z
dc.date.available 2025-09-14T10:01:14Z
dc.date.issued 2024-07-15
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/14549
dc.description Project report en_US
dc.description.abstract This study explores the complex interrelationships between gaming and everyday life, looking at how these interactions social dynamics, and cognitive capacities. The lines separating reality from virtual experiences have gotten increasingly hazy as gaming platforms have developed quickly with technology breakthroughs, bringing in a revolutionary era in which gaming is integrated into many facets of our everyday lives. By means of a mobile application, a heterogeneous group of participants, including gamers and non-gamers, will be presented with a sequence of tasks, encompassing puzzles and inquiries, with the aim of evaluating their reactions. The gathered data will be examined using advanced machine learning algorithms to find complex patterns and correlations, providing insight into how people's gaming habits affect their ability. Specifically, their efficiency and special awareness. Ethical considerations will continue to be crucial throughout this investigation in order to protect participant privacy and ensure data integrity. With the goal of providing deep understanding of the various ways that gaming affects daily life, this interdisciplinary approach will help shape future approaches to use gaming's potential to improve their efficiency and awareness to their surroundings and enrich daily experiences. en_US
dc.description.sponsorship Daffodil International University en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject Evolution of gaming en_US
dc.subject Machine Learning en_US
dc.subject Digital entertainment en_US
dc.title Deciphering the impact and evolution of gaming in everyday life: a machine learning centric analysis. en_US
dc.type Other en_US


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