感官地图2.0:支持感官处理障碍的新方法和可视化
Nadia Merve Celestin1, Mahya Beheshti2, Junchi Feng3
1College of Medicine, Downstate Health Sciences University, New York, NY, USA; Department of Physical Medicine and Rehabilitation, New York University Langone Health, New York, NY, USA.
Disability and health journal
|February 17, 2026
概括
一个用于感官映射的新定量协议可以帮助有感官处理障碍 (SPD) 的人在复杂的环境中进行导航. 这种方法精确地测量声音,光和拥挤,以创建更准确,更可靠的感觉地图.
科学领域:
- 环境心理学 环境心理学
- 人与计算机的交互
- 可访问性设计可访问性设计
背景情况:
- 患有感官处理障碍 (SPD) 的人因对噪音和照明等环境刺激过敏而经历了显著的路径困难.
- 当前的感觉地图虽然有用,但缺乏创建标准化的协议,严重依赖定性方法,并限制其精度和可重复性.
研究的目的:
- 建立一个标准化,定量协议,用于创建感官地图.
- 在医疗环境中评估声音,亮度和拥挤密度,以提高地图准确性.
- 为未来的感官地图创建自动化奠定基础.
主要方法:
- 从一个大型城市门诊护理中心收集感官数据 (声音,亮度,拥挤密度).
- 采用了定性空间审计,然后在指定的节点进行定量测量.
- 利用Python开发Voronoi图来可视化强度分布,并应用数据验证的统计方法.
主要成果:
- 高刺激区域 (大堂,电梯) 的定性发现与定量测量密切匹配.
- 亮度在自然照明的中心区域是最高的;噪音水平在HVAC系统和入口附近达到顶峰.
- 与定性方法相比,定量方法提供了更详细,更可靠的环境刺激表现.
结论:
- 开发的定量协议为感官映射提供了一个强大的框架,提高了SPD患者在复杂环境中的可访问性.
- 这种标准化的方法解决了当前方法的局限性,提高了可复制性,并提供了自动化潜力.
- 这些发现支持对公共和医疗保健环境的包容性设计的进步,改善弱势群体的导航.
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