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速度:一个图形用户界面软件,用于处理眼睛跟踪数据.

Daniele Lozzi1,2, Ilaria Di Pompeo3, Martina Marcaccio3

  • 1A2VI-Lab, Department of Life, Health and Environmental Sciences, University of L'Aquila, 67100 L'Aquila, Italy.

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概括
此摘要是机器生成的。

本研究介绍了用于处理眼睛跟踪数据的SPEED软件,帮助研究人员分析视觉感知和认知过程. 一项试点研究发现,在道德决策任务中,反应时间和眼的显著差异.

关键词:
认知心理学 认知心理学计算心理学 计算心理学眼睛跟踪 眼睛跟踪在道德上做出决定.心理测量是指心理测量.

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科学领域:

  • 认知神经科学 认知神经科学
  • 眼科医生 眼科 眼科
  • 人与计算机的交互

背景情况:

  • 眼睛跟踪对于理解视觉感知和认知过程至关重要.
  • 现有的数据处理方法可能很复杂,需要编码专业知识.
  • 学生实验室Neon是一个常见的眼睛跟踪硬件.

研究的目的:

  • 介绍SPEED (labScoc处理和提取眼睛跟踪数据),这是一个基于Python的新软件,用于处理学生实验室Neon眼睛跟踪数据.
  • 使研究人员能够从眼睛跟踪数据中提取特征,而不需要编码技能.
  • 在道德决策过程中调查眼运动相关物和自主预测因素.

主要方法:

  • 使用Python开发SPEED软件,用于自动化功能提取.
  • 在5名健康参与者中进行试点研究.
  • 使用道德决策任务 (MDMT) 在个人和非个人困境条件下.
  • 使用Pupil Lab Neon记录和分析眼睛的运动和眼.

主要成果:

  • SPEED软件成功处理了眼睛跟踪数据,简化了功能提取.
  • 在个人和非个人道德困境之间的反应时间中发现了统计学上显著的差异.
  • 在MDMT的选择过程中,观察到眼次数的显著差异.

结论:

  • 该SPEED软件提供了一个用户友好的解决方案,用于研究中的眼睛跟踪数据分析.
  • 眼运动测量,特别是反应时间和眼率,对这种道德困境很敏感.
  • 眼睛跟踪提供了对道德决策背后的认知过程有价值的见解.