User Friendly Minecraft Mod for Early Detection of Alzheimer's Disease in Young Adults

Satoko Ito, Marcel Wira, R. Thawonmas
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Abstract

We propose a user-friendly system for early detection of Alzheimer's Disease (AD). The proposed system is an improved version of a state-of-the-art system (SOTA), especially in the “usability/playability” factor of user experience. In recent years, dementia has become a social problem worldwide, and studies on early detection of it have been increasingly focused on. Spatial navigation, in particular, the in-game traveled distance, is considered one of the most critical keys that enable early AD detection. Both systems utilize the in-game traveled distance and a popular game called Minecraft. A user evaluation was conducted that confirms the proposed system outperforms SOTA in terms of the usability and playability factor and another factor about visual aesthetics, both with statistical significance.
用户友好的Minecraft模型早期检测阿尔茨海默病的年轻人
我们提出了一个用户友好的系统早期检测阿尔茨海默病(AD)。所提议的系统是最先进系统(SOTA)的改进版本,特别是在用户体验的“可用性/可玩性”因素方面。近年来,痴呆症已成为世界性的社会问题,对其早期发现的研究日益受到重视。空间导航,特别是游戏中的行进距离,被认为是能够早期发现AD的最关键关键之一。这两种系统都利用了游戏中的行进距离和一款名为《我的世界》的流行游戏。我们进行了用户评估,确认所提议的系统在可用性和可玩性因素以及关于视觉美学的另一个因素方面优于SOTA,两者都具有统计显著性。
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