The Future of Decisions From Experience: Connecting Real-World Decision Problems to Cognitive Processes.
The Future of Decisions From Experience: Connecting Real-World Decision Problems to Cognitive Processes.
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DOI：
10.1177/17456916231179138
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发表时间：
2024-01
期刊：
影响因子：
--
通讯作者：
Konstantinidis E
中科院分区：
文献类型：
--
作者：
Olschewski S;Luckman A;Mason A;Ludvig EA;Konstantinidis E
在许多重要的现实世界决策领域，例如金融、环境和健康，行为很大程度上受到经验的影响。过去 20 年，人们对研究这种影响重新产生了兴趣，这使得人们对这些经验决策 (DfE) 的理解取得了重要进展。在此文献的基础上，我们提出了扩展标准实验设计以更好地接近重要的现实世界 DfE 的方法。例如，这些扩展包括引入更复杂的选择情况、延迟反馈以及包括社交互动。当根据这些更丰富、更复杂的环境中的经验采取行动时，需要广泛的认知过程来做出决定。因此，我们主张将认知过程更明确地整合到 DfE 的实验研究中。这些认知过程包括对数字和非数字经验的关注和感知、情景和语义记忆的影响以及学习过程中涉及的心理模型。了解这些基本认知过程可以促进实验室和现实世界中 DfE 的建模、理解和预测。我们强调 DfE 实验研究对于跨行为、决策和认知科学的理论整合的潜力。此外，这项研究可能会带来新的方法，更好地为决策和政策干预提供信息。
In many important real-world decision domains, such as finance, the environment, and health, behavior is strongly influenced by experience. Renewed interest in studying this influence led to important advancements in the understanding of these decisions from experience (DfE) in the last 20 years. Building on this literature, we suggest ways the standard experimental design should be extended to better approach important real-world DfE. These extensions include, for example, introducing more complex choice situations, delaying feedback, and including social interactions. When acting upon experiences in these richer and more complicated environments, extensive cognitive processes go into making a decision. Therefore, we argue for integrating cognitive processes more explicitly into experimental research in DfE. These cognitive processes include attention to and perception of numeric and nonnumeric experiences, the influence of episodic and semantic memory, and the mental models involved in learning processes. Understanding these basic cognitive processes can advance the modeling, understanding and prediction of DfE in the laboratory and in the real world. We highlight the potential of experimental research in DfE for theory integration across the behavioral, decision, and cognitive sciences. Furthermore, this research could lead to new methodology that better informs decision-making and policy interventions.
影响因子：
3.5
作者：
Tran R;Vul E;Pashler H
通讯作者：
Pashler H
影响因子：
--
作者：
Wegwarth O;Wind S;Goebel E;Spies C;Meerpohl JJ;Schmucker C;Schulte E;Neugebauer E;Hertwig R
通讯作者：
Hertwig R