在为自己和他人做出风险决定时,与大流行病相关的情感差距。

Aalim Makani,Sadia Chowdhury,David B Flora,Julia Spaniol
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引用次数: 0

摘要

在 COVID-19 大流行的早期阶段,全球大部分人口都面临着更大的日常压力。对医疗环境中风险选择的研究表明,与情感贫乏的选择相比,情感丰富的选择会促进不利的决策策略,从而导致决策中的 "情感差距"。目前的实验(总人数 = 437,年龄范围:21-82 岁)试图测试与大流行病相关的负面情绪是否会降低个体的期望值(EV)最大化。在实验 1 中,参与者表示他们愿意支付多少钱来避免特定的大流行病经历(例如 "无法聚集在一起"),然后在涉及大流行病经历或主观等价金钱损失的风险前景中做出选择。与同等金钱损失相比,大流行病经历的收益最大化程度更低。实验 2 复制了这一结果,并进一步证明了决策视角的调节作用。为他人做决定时的 EV 最大化程度高于为自己做决定时的 EV 最大化程度。这些发现强调了在情感丰富的真实世界条件下促进决策制定的潜在策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A pandemic-related affect gap in risky decisions for self and others.
The early stages of the COVID-19 pandemic exposed large portions of the global populations to increased daily stressors. Research on risky choice in medical contexts suggests that affect-rich choice options promote less-advantageous decision strategies compared with affect-poor options, causing an "affect gap" in decision making. The current experiments (total N = 437, age range: 21-82) sought to test whether negative pandemic-related affect would lower expected-value (EV) maximisation within individuals. In Experiment 1, participants indicated how much they would be willing to pay to avoid specific pandemic experiences (e.g. "not being able to gather in groups"), and then chose among pairs of risky prospects that involved pandemic experiences or subjectively-equivalent monetary losses. EV maximising was lower for pandemic experiences than for equivalent monetary losses. Experiment 2 replicated this finding, and further demonstrated a moderating role of decision perspective. EV maximising was greater in decisions made for another person than in decisions made for oneself. These findings highlight potential strategies for boosting decision making under affect-rich real-world conditions.
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