虚拟现实游戏玩法分类说明了视觉空间忽视的多维性
David R Painter1, Michael F Norwood1, Chelsea H Marsh1,2
1The Hopkins Centre, Menzies Health Institute Queensland, Griffith University, Nathan, Queensland, 4111, Australia.
Brain communications
|August 21, 2024
概括
沉浸式虚拟现实 (IVR) 提供了一种比传统测试更敏感的方法来检测脑损伤后单方面空间疏忽. 这种IVR系统准确地识别了疏忽和较轻的注意力问题,改善了患者的评估.
科学领域:
- 神经科学是一个神经科学.
- 康复医学 康复医学 康复医学
- 人与计算机的交互
背景情况:
- 大脑损伤通常会导致隐藏的残疾,如单方面空间疏忽,影响日常生活.
- 目前的疏忽评估方法不准确,导致数据不可靠,治疗不有效.
- 沉浸式虚拟现实 (IVR) 显示了客观评估的潜力,但很少被用作独立的工具.
研究的目的:
- 开发和验证一个独立的IVR分类系统,用于单方面空间疏忽.
- 根据视觉搜索性能将患者分类为被忽视,"轻微非典型"或非被忽视的组.
- 将IVR系统的有效性与传统评估方法进行比较.
主要方法:
- 51名脑损伤住院患者和30名对照人使用了"注意力图谱"IVR游戏.
- 基于游戏指标 (侧面,方向,挑战) 的数学定义被用于分类.
- 性能与规范模型进行了比较,以检测非典型的视觉搜索模式.
主要成果:
- IVR系统在25.5%的患者中发现了疏忽,在17.6%的患者中发现了轻微的异常,在56.9%的患者中发现了非疏忽.
- 非典型的视觉搜索与忽视风险因素 (如中风,头顶损伤) 强烈相关.
- 与传统评估相比,IVR的灵敏度更高 (53.8%对于传统评估),而传统评估的准确性没有显著提高.
结论:
- 独立的IVR是有效的详细和敏感的检测单方面空间疏忽和相关的注意力缺陷.
- 在识别各种忽视维度和严重程度方面,IVR超越了传统方法.
- 临床整合IVR需要医疗保健专业人员,患者和利益相关者之间的合作,以便实际应用.
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