预决性信息搜索通过适应性来减少三种类型的不确定性
Mikhail S Spektor1,2, Dirk U Wulff3,4
1College of Arts and Sciences, VinUniversity, Hanoi, Vietnam.
概括
人们通过多个信息搜索驱动器减少不确定性,根据经验和环境调整他们的策略. 在信息搜索行为中的个人差异需要更广泛的理论解释.
科学领域:
- 认知心理学 认知心理学
- 决策科学 决策科学 决策科学
- 行为经济学是一种行为经济学.
背景情况:
- 之前的研究表明,决策涉及减少不确定性.
- 信息搜索策略的确切机制和一致性仍然不清楚.
研究的目的:
- 在自由探索环境中分析信息搜索决策.
- 确定前决策信息搜索的驱动因素及其潜在的不确定性.
- 调查信息搜索策略的适应性和个体性质.
主要方法:
- 分析了来自2500+个人的超过100万个信息搜索决策.
- 利用经验决策范式,将信息搜索与选择分开.
- 采用以数据为导向的方法,采用正式的测量框架.
主要成果:
- 确定了信息搜索的三个主要驱动因素:结构,估计和计算不确定性减少.
- 证明信息搜索选择是适应性的,顺序性的,并受到环境知识的影响.
- 在招聘信息搜索驱动器方面观察到显著的个人间异质性.
结论:
- 人类搜索信息是复杂的,由多种,取决于上下文的因素驱动.
- 专注于估计不确定性或成本效益分析的单一账户是不够的.
- 需要更广泛的理论来涵盖人类信息搜索行为的多方面的性质.
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