使用智能游戏技术的护理人员评估：初步方法
Caregiver Assessment Using Smart Gaming Technology: A Preliminary Approach
摘要：
随着预诊断技术越来越普及，使用它们来提高痴呆症患者及其护理人员的护理质量越来越受到关注。具体来说，我们的目标是开发一种工具，用于在一个简单的游戏应用程序中非侵入性地评估任务性能。为了解决这个问题，我们使用智能游戏技术（CAST）开发了护理人员评估，这是一款个性化传统单词争夺游戏的移动应用程序。它的核心功能使用一个通过遗传算法（GA）优化的模糊推理系统（FIS），为系统的每个用户提供定制的性能指标。通过CAST，我们使用个人解决单词争夺任务的能力来匹配游戏的相对难度水平。我们提供了一个分析的初步结果，确定任务难度，就我们目前的参与者队列。
英文摘要：
As pre-diagnostic technologies are becoming increasingly accessible, using them to improve the quality of care available to dementia patients and their caregivers is of increasing interest. Specifically, we aim to develop a tool for non-invasively assessing task performance in a simple gaming application. To address this, we have developed Caregiver Assessment using Smart Gaming Technology (CAST), a mobile application that personalizes a traditional word scramble game. Its core functionality uses a Fuzzy Inference System (FIS) optimized via a Genetic Algorithm (GA) to provide customized performance measures for each user of the system. With CAST, we match the relative level of difficulty of play using the individual's ability to solve the word scramble tasks. We provide an analysis of the preliminary results for determining task difficulty, with respect to our current participant cohort.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
