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概括
此摘要是机器生成的。

视觉能力的新计算机测试是可靠和有效的,在区分有或没有脑神经障碍 (CNI) 的个体方面与传统的纸和笔测试类似. 这些数字评估得到了参与者的好评.

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计算机认知测试 计算机认知测试数字神经心理测试数字神经心理测试多样化的样本样本.触觉反应 触觉反应视觉测试 视觉测试 视觉测试 视觉测试

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科学领域:

  • 神经科学和认知心理学
  • 人与计算机的交互
  • 心理测量 心理测量 心理测量

背景情况:

  • 视觉能力的传统纸和笔 (P&P) 测试被广泛使用,但可能缺乏现代互动功能.
  • 大脑神经障碍 (CNI) 影响视觉处理,需要准确可靠的评估工具.
  • 开发P&P测试的数字替代品可以提供增强的用户体验和数据捕获.

研究的目的:

  • 评估三个新的基于计算机的视觉能力测试的可靠性和有效性.
  • 为了比较这些计算机测试的表现与传统的P&P措施在有和没有CNI的个体.
  • 评估用户对基于计算机的认知测试的态度.

主要方法:

  • 115名参与者 (73名非白人,84名女性,平均年龄45.5岁) 完成了新的计算机测试 (总统,铁路,沼泽) 和标准的神经心理测试.
  • 测试采用音频指令,触摸响应和视频设计;用于排除标准的性能有效性测试 (PVTs).
  • 用因子分析和相关性来检查测试结构,可靠性和与认知领域和学业成绩的关系.

主要成果:

  • 计算机测试证明了足够的可靠性,并按设计运行,与视觉知识,感知,注意力和识别保持一致.
  • 计算机和传统测试显示,CNI和非CNI群体的区分能力相似.
  • 通过测试经验问卷 (TEQ) 测量,报告了对计算机测试的积极态度.

结论:

  • 新的计算机测试是可靠的,有效的视觉认知领域的测量.
  • 这些数字工具有效地区分了CNI和非CNI群体,与传统方法相比.
  • 基于计算机的认知评估得到了用户的好评,这表明它有可能被广泛采用.