自私与亲社会决策:一个眼动数据报告
1Laboratory of Experimental Psychology, Tomsk State University, Tomsk, Russia. peshkovskaya@gmail.com.
Scientific data
|January 22, 2025
概括
眼睛跟踪数据为人类行为和决策提供了洞察力. 这项研究提供了从实验中获得的视觉行为和眼睛运动的数据集,对计算模型有价值.
科学领域:
- 行为科学 行为科学
- 认知神经科学 认知神经科学
- 人与计算机的交互
背景情况:
- 眼睛跟踪是理解人类行为的强大工具.
- 决策过程是复杂的,受视觉注意力的影响.
- 现有的数据集可能无法完全捕捉决策任务期间眼运动活动的细微差别.
研究的目的:
- 介绍一个新的眼睛跟踪指标数据集.
- 促进对人类行为和决策的研究.
- 支持视觉注意力的计算模型的开发.
主要方法:
- 使用SMI眼睛跟踪眼镜收集眼睛跟踪数据.
- 在个人和社会决策条件下进行了十四次实验.
- 在与决策相关的领域记录视觉行为指标和眼动数据.
主要成果:
- 该数据集包括4,180个视觉行为指标摘要.
- 该数据集包含3,744个眼动记录.
- 数据涵盖个人和社会决策场景.
结论:
- 本文所介绍的眼睛追踪数据集是一个宝贵的资源.
- 这些数据可以增强决策过程的计算模型.
- 这些发现有助于理解决策中的眼运动活动.
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