School of Psychology.
School of Economics.
J Exp Psychol Learn Mem Cogn. 2022 Aug;48(8):1098-1109. doi: 10.1037/xlm0001133. Epub 2022 Apr 7.
Valued-based decision-making has been studied for decades in myriad topics such as consumer spending and gambling, but very rarely in spatial navigation despite the link between the two being highly relevant to survival. Furthermore, how people integrate episodic memories, and what factors are related to the extent of memory integration in value-based decision-making, remain largely unknown. In the current study, participants learned locations of various objects in a virtual environment and then decided whether to reach goal objects from familiar starting locations or unpredictable ones, with different penalties associated with each option. We developed computational models to test whether, when given an object to find, participants' starting location decisions reflected their past performance specific to that goal (Target-specific model) or integrated memory from performance with all goals in the environment (Target-common model). Because participants' wayfinding performance improved throughout the experiment, we were able to examine what factors related to the generalization of past experience. We found that most participants' decisions were better fit by the Target-common model, and for the people whose decisions were better fit by the Target-common model this integrative tendency may be tied to their concurrently greater performance variability with individual targets. Moreover, greater success on our task was predicted by an interaction between the ability to estimate probabilities relevant to decision-making and self-report general task ability. Collectively, our results show how related navigational episodic memories can be reflected in decision-making, and uncover individual differences contributing to such processes. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
基于价值的决策在消费者支出和赌博等众多主题中已经研究了几十年,但在空间导航方面却很少研究,尽管两者之间的联系与生存高度相关。此外,人们如何整合情景记忆,以及在基于价值的决策中哪些因素与记忆整合的程度有关,这些仍然很大程度上是未知的。在当前的研究中,参与者在虚拟环境中学习各种物体的位置,然后决定是从熟悉的起始位置还是不可预测的位置到达目标物体,每个选项都有不同的惩罚。我们开发了计算模型来测试当给定一个要找到的物体时,参与者的起始位置决策是否反映了他们对特定目标的过去表现(目标特定模型)或对环境中所有目标的记忆整合(目标共同模型)。由于参与者在整个实验中的寻路表现有所提高,我们能够研究哪些因素与过去经验的泛化有关。我们发现,大多数参与者的决策更符合目标共同模型,对于那些决策更符合目标共同模型的人来说,这种综合倾向可能与其对个别目标的表现变异性同时更大有关。此外,在我们的任务中表现更好的人,其决策能力与自我报告的一般任务能力之间存在相互作用。总的来说,我们的研究结果表明,相关的导航情景记忆可以反映在决策中,并揭示了导致这些过程的个体差异。