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@article{178842,
author = {Tarun V and Kaustubh P S and Jithendra Gowda J and Anusha P and Mujahid Ur Rehman},
title = {Design and Analysis of Item Finder game},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {11},
number = {12},
pages = {4863-4865},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=178842},
abstract = {Item Finder is a 3D mobile game that aims to improve the cognitive skills of users through dynamic object classification. Players must identify, categorize, and drag different 3D objects into a specific hole depending on pre-set categories like animals, birds, vehicles, planes, insects, and more. The overall goal is to combine fun with learning, stimulating attention, memory, and logical thinking in a rich game environment. Through the use of drag-and-drop mechanics, the game offers a haptic and intuitive interface that is accessible to users across all age groups. Every level of the game offers a new challenge with different combinations of objects and categories, increasing in complexity step by step. This allows for continued user engagement while encouraging mental stimulation and skill acquisition.
Item Finder was created with a 3D game engine designed for mobile platforms, providing efficient performance, responsive controls, and nice-looking models. It shows how uncomplicated but valuable gameplay can be utilized for learning, making it an effective resource in formal and informal learning situations. This project is also an educational game design case study, integrating game mechanics with the principles of cognitive science. It adds to the emerging field of game-based learning by offering a lightweight, usable, and fun mobile game that invites players to think, respond, and learn. The abstract outlines the game idea, fundamental mechanics, development tools, teaching value, and future developments.},
keywords = {},
month = {May},
}
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