丹佛疼痛真实性刺激套件 (D-PASS) 的使用
E Paige Lloyd1, Kevin M Summers2, Christopher A Gunderson2
1Department of Psychology, University of Denver, 2155 South Race Street, Denver, CO, 80210, USA. paige.lloyd@du.edu.
Behavior research methods
|November 22, 2023
概括
丹佛疼痛真实性刺激集 (D-PASS) 提供了315个来自105个人的真实和假装疼痛表达的视频. 这种免费资源有助于研究疼痛感知和表达真实性的研究.
科学领域:
- 心理学 心理学 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:
- 准确的疼痛评估在临床和研究环境中至关重要.
- 区分真实的痛苦和假装的表情是一个重大的挑战.
- 对于疼痛表达研究的现有刺激是有限的范围和多样性.
研究的目的:
- 介绍丹佛疼痛真实性刺激集 (D-PASS),一个全面的视频数据库.
- 为研究疼痛表达和感知的研究人员提供免费,可访问的资源.
- 促进对影响疼痛真实性检测的因素的调查.
主要方法:
- 收集了105个个体的315个视频,显示真实疼痛 (压力算法仪) 和虚拟疼痛 (真实表达前/后).
- 开发了一本附带的代码书,包含面部行动编码系统指标,疼痛值,感知性能和面部评分.
- 包括中立图像和人口统计数据,特别是大量的黑白表达者.
主要成果:
- D-PASS数据库包括真实和虚拟的疼痛表达,以及丰富的多层次数据.
- 该数据集允许分析表达器变异性和先进的统计方法,如信号检测分析.
- 包括多样化的种族人口统计数据使得研究种族在疼痛感知中的作用成为可能.
结论:
- D-PASS是一个有价值的,免费的资源,用于推进疼痛科学研究.
- 该数据集支持对疼痛表达的真实性进行细微调查.
- 未来的研究可以利用D-PASS进行跨组研究和探索疼痛感知机制.
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