Research Article

A Smart Recommendation System for Early Diagnosis of Alzheimer’s Disease through Gamification in the Metaverse

Volume: 9 Number: 1 July 31, 2025
EN TR

A Smart Recommendation System for Early Diagnosis of Alzheimer’s Disease through Gamification in the Metaverse

Abstract

This project explores how gamification, virtual reality (VR), and artificial intelligence (AI) can work together to detect early signs of Alzheimer’s disease in a non-invasive way. By turning cognitive tests into an engaging VR game, users complete tasks that assess memory, problem-solving, and spatial reasoning, which are the key abilities affected by the disease. The game places users in a virtual environment where they perform tasks like identifying shapes, organizing objects, and solving basic math problems. Machine learning models, including Random Forests (RF) and Long Short-Term Memory (LSTM) networks, analyze the data from these tasks. While RF helps detect patterns in user responses, LSTM tracks changes over time, making the diagnosis more accurate. The game is planning to be designed using Unity for development, Blender for 3D objects, and Audacity for sound design. These tools will help create realistic and interactive experiences. Unlike traditional medical tests, this VR game makes the process more comfortable and less stressful for the users. By combining VR, AI, and gamification, this project introduces a new and effective way to detect Alzheimer’s early.

Keywords

References

  1. [1] Statista, "Leading language learning apps worldwide in January 2024, by downloads," Statista, 2024. [Online]. Available: https://www.statista.com/statistics/1239522/top-language-learning-apps-downloads/. Accessed: Feb. 7, 2025.
  2. [2] H. Cloke, "The history of gamification: From the beginning to right now," Growth Engineering, Aug. 29, 2019. [Online]. Available: https://www.growthengineering.co.uk/history-of-gamification/. Accessed: Aug. 21, 2024.
  3. [3] D. Kamińska et al., "Virtual reality and its applications in education: Survey," Information, vol. 10, no. 10, p. 318, 2019. doi: 10.3390/info10100318.
  4. [4] VirtuAAL Research Group, "Goals," VIRTUAAL, Dec. 12, 2019. [Online]. Available: https://virtu-aal.eu/. Accessed: Sep. 8, 2024.
  5. [5] E. Park, "EVA park: A virtual world for people with aphasia," YouTube, Nov. 8, 2015. [Online]. Available: https://www.youtube.com/watch?v=ouF1Nwvo6js. Accessed: Feb. 7, 2025.
  6. [6] Alzheimer's Research UK, "Sea Hero Quest - Alzheimer's Research UK," Alzheimer's Research UK, Sep. 29, 2021. [Online]. Available: https://www.alzheimersresearchuk.org/research/for-researchers/resources-and-information/sea-hero-quest/. Accessed: Aug. 21, 2024.
  7. [7] Cogstate, "Cogstate," Cogstate, 2024. [Online]. Available: https://www.cogstate.com/. Accessed: Aug. 21, 2024.
  8. [8] "Lumosity: Daily brain games," Lumosity, 2018. [Online]. Available: https://www.lumosity.com/en/.

Details

Primary Language

English

Subjects

Graphics, Augmented Reality and Games (Other), Artificial Reality

Journal Section

Research Article

Early Pub Date

July 12, 2025

Publication Date

July 31, 2025

Submission Date

February 21, 2025

Acceptance Date

March 31, 2025

Published in Issue

Year 2025 Volume: 9 Number: 1

APA
Alak, C., & Olca, E. (2025). A Smart Recommendation System for Early Diagnosis of Alzheimer’s Disease through Gamification in the Metaverse. International Journal of Multidisciplinary Studies and Innovative Technologies, 9(1), 8-13. https://izlik.org/JA46AU52DY
AMA
1.Alak C, Olca E. A Smart Recommendation System for Early Diagnosis of Alzheimer’s Disease through Gamification in the Metaverse. IJMSIT. 2025;9(1):8-13. https://izlik.org/JA46AU52DY
Chicago
Alak, Ceylin, and Emre Olca. 2025. “A Smart Recommendation System for Early Diagnosis of Alzheimer’s Disease through Gamification in the Metaverse”. International Journal of Multidisciplinary Studies and Innovative Technologies 9 (1): 8-13. https://izlik.org/JA46AU52DY.
EndNote
Alak C, Olca E (August 1, 2025) A Smart Recommendation System for Early Diagnosis of Alzheimer’s Disease through Gamification in the Metaverse. International Journal of Multidisciplinary Studies and Innovative Technologies 9 1 8–13.
IEEE
[1]C. Alak and E. Olca, “A Smart Recommendation System for Early Diagnosis of Alzheimer’s Disease through Gamification in the Metaverse”, IJMSIT, vol. 9, no. 1, pp. 8–13, Aug. 2025, [Online]. Available: https://izlik.org/JA46AU52DY
ISNAD
Alak, Ceylin - Olca, Emre. “A Smart Recommendation System for Early Diagnosis of Alzheimer’s Disease through Gamification in the Metaverse”. International Journal of Multidisciplinary Studies and Innovative Technologies 9/1 (August 1, 2025): 8-13. https://izlik.org/JA46AU52DY.
JAMA
1.Alak C, Olca E. A Smart Recommendation System for Early Diagnosis of Alzheimer’s Disease through Gamification in the Metaverse. IJMSIT. 2025;9:8–13.
MLA
Alak, Ceylin, and Emre Olca. “A Smart Recommendation System for Early Diagnosis of Alzheimer’s Disease through Gamification in the Metaverse”. International Journal of Multidisciplinary Studies and Innovative Technologies, vol. 9, no. 1, Aug. 2025, pp. 8-13, https://izlik.org/JA46AU52DY.
Vancouver
1.Ceylin Alak, Emre Olca. A Smart Recommendation System for Early Diagnosis of Alzheimer’s Disease through Gamification in the Metaverse. IJMSIT [Internet]. 2025 Aug. 1;9(1):8-13. Available from: https://izlik.org/JA46AU52DY