在小组决策背景下对损失逆转的探索性研究:ERP和机器学习的多个证据
Jia Jin1,2, Zhongfeng Wang1, Lu Dai1
1Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, China.
集团决策减少损失厌恶,使个人对金融风险不那么敏感. 通过脑电图 (EEG) 测量的神经活动显示出不同的模式,预测个人与团体决策背景.
科学领域:
- 神经科学是一个神经科学.
- 行为经济学是一种行为经济学.
- 认知心理学 认知心理学
背景情况:
- 风险态度,特别是对损失的厌恶,在个人和团体决策之间存在差异.
- 在群体环境中损失厌恶的行为和神经基础需要进一步调查.
研究的目的:
- 在组决策环境中探索损失厌恶的行为表现和神经机制.
- 为了比较群体与个人决策设置中的损失厌恶.
主要方法:
- 利用学生和非学生样本进行行为实验和脑电图 (EEG).
- 分析了与事件相关的潜力 (ERP),特别是与反相关的消极性 (FRN) 和P3b组件.
- 采用机器学习算法来预测基于EEG特征的决策环境.
主要成果:
- 在行为上,与个人背景相比,在群体背景下减少了损失厌恶.
- 脑电图分析显示,在组设置中对损失和收益的敏感性降低,由减少的FRN和P3b差异表明.
- 在损失厌恶系数和损失FRN幅度之间发现了显著的负相关性.
- 机器学习准确地预测了使用EEG特征的决策环境,准确度为81.25%.
结论:
- 集团决策减轻了损失厌恶,影响了对财务结果的神经敏感性.
- 神经生理活动,特别是EEG模式,可以有效地区分个人和团体决策环境.
- 通过理解与损失厌恶相关的认知过程,研究结果为优化群体决策和资源配置提供了洞察力.
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