使用网络应用程序测量人类上下文依赖的成本效益决策的协议
Lara I Rakocevic1, Raquel Ibáñez Alcalá2, Ki A Goosens3
1Computational Science Program, University of Texas at El Paso, El Paso, TX, USA; Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
STAR protocols
|September 14, 2025
概括
这项研究引入了一种用于在不同环境中测量人类决策的新方案. 该方法使用网络应用程序来评估自然主义和正常化的选择,包括眼睛跟踪和心率监测.
科学领域:
- 认知神经科学 认知神经科学
- 行为经济学是一种行为经济学.
- 心理学 心理学 心理学
背景情况:
- 了解人类决策在各个领域至关重要.
- 现有的方法可能无法完全捕捉到自然主义的选择.
- 需要标准化的协议来衡量跨背景的决策.
研究的目的:
- 为测量人类自然主义和正常化决策提供一个全面的协议.
- 详细介绍这项协议在四个不同的环境中的实施:接近-避免,道德,社会和概率.
- 为研究人员提供一个研究决策过程的框架.
主要方法:
- 开发用于决策任务的Web应用程序.
- 包括会话设置,眼球追踪器校准和心率监测.
- 参与者与故事互动,评价特定背景的奖励/成本,并评估成本-奖励配对.
主要成果:
- 该协议允许在自然和正常化的环境中测量决策.
- 数据可以在各种决策环境中收集.
- 该方法将生理测量 (心率) 与行为选择相结合.
结论:
- 该协议为研究人类决策提供了一种标准化和多用途的方法.
- 基于网络的平台促进了可访问和可重复的研究.
- 多种测量方式的整合可以提高对决策的深入洞察力.
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