在工具信息需求过程中,对任务相关属性的低效优先级
Isabella Rischall1,2, Laura Hunter1,2, Greg Jensen1,2,3
1Department of Neuroscience, Columbia University, New York, NY, USA.
Nature communications
|June 1, 2023
概括
人们经常选择寻找个人看来有价值的信息,但不能很好地预测整体结果. 这种低效的信息搜索行为与人格特征有关,影响决策.
科学领域:
- 认知心理学 认知心理学
- 决策科学科学 决策科学
- 行为经济学是一种行为经济学.
背景情况:
- 人类经常遇到复杂的情况,具有多个属性,需要收集信息.
- 了解个人如何选择哪些信息是决策研究的关键.
- 目前关于人们用来识别最具预测性的信息的策略的知识有限.
研究的目的:
- 调查个人如何在多属性场景中选择信息收集属性.
- 确定人们是否有效地识别出最能预测整体结果的观察结果.
- 探索信息搜索策略和个性特征的个体差异之间的关系.
主要方法:
- 参与者从事简化信息需求任务.
- 该研究评估了与预测总回报有关的属性选择效率.
- 实验条件操纵了与信息与非信息观测相关的奖励.
- 人格指标被收集并与信息搜索行为相关联.
主要成果:
- 参与者表现出低效的查询,偏爱具有高个体价值的属性,而不是具有高预测信息力的属性.
- 这种低效仍然存在,即使它导致奖励大幅减少.
- 个人对信息敏感性的差异与人格特征相关.
- 发现与外向和寻找刺激的负相关性;与耐压力和认知需求的积极相关性.
结论:
- 在多属性决策中,人们在选择信息查询时采用次优化策略.
- 这些低效的策略与特定的人格特质有关.
- 了解这些关联可以阐明后果选择和认知偏见.
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