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什么时候已经够了? 实证指南,以确定场景观测研究的参与者样本大小

Alex J Hoogerbrugge¹, Ignace T C Hooge¹, Roy S Hessels¹

¹Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, The Netherlands.

Behavior research methods

|July 28, 2025

概括

确定足够的参与者数量对于眼睛追踪研究至关重要. 这项研究为凝视分布和兴趣区域分析中的样本大小提供了指导方针,显示参与者越来越多,回报率下降.

科学领域:

认知心理学认知心理学
神经科学是一个神经科学.
人与计算机的交互

背景情况:

眼睛跟踪对于理解空间注意力分配至关重要.
为凝视分析制定参与者样本大小准则是具有挑战性的.
对于经典统计测试的现有指导方针并不直接适用于视线分布或兴趣区域分析.

研究的目的:

提供基于证据的指导方针,用于确定眼睛跟踪研究中的参与者样本大小.
为了解决对视线分布图和兴趣区域分析缺乏明确建议的问题.
为了使研究人员能够获得可靠和可重复的目光估计.

主要方法:

分析了两个大规模的眼睛跟踪数据集:数据集1 (1248名参与者,单一图像) 和数据集2 (84名参与者,200多张图像).
评估样本大小对视线分布地图相似性的影响,使用正常化 Saliency 评分.
评估样本大小对兴趣区域分析结果差异的影响.

主要成果:

在数据集类型和分析方法中,观察到增加参与者样本大小的回报率下降.
提供了具体的例子:分布图相似性增加5%需要13-34或10-32个参与者的样本大小.
对兴趣领域分析的结果差异减少25%需要13-44名参与者的样本大小.

结论:

没有一个单一的样本大小适合所有眼睛跟踪研究;建议取决于数据集和分析类型.
该研究为确定最佳参与者样本大小提供了实际指导方针和参考表.
研究结果有利于学术界和工业界的研究人员,以高效可靠的眼睛跟踪研究设计.

关键词:

感兴趣的领域眼球追踪器眼球追踪器凝视着凝视着凝视着热地图是一个热地图.估计功率的功率估计.样本的大小样本大小

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