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将视觉工作记忆模型映射到一个理论框架。

Mapping visual working memory models to a theoretical framework.

作者信息

Ngiam William Xiang Quan

机构信息

Department of Psychology, University of Chicago, Chicago, Illinois, USA.

Institute of Mind and Biology, University of Chicago, Chicago, Illinois, USA.

出版信息

Psychon Bull Rev. 2024 Apr;31(2):442-459. doi: 10.3758/s13423-023-02356-5. Epub 2023 Aug 28.

DOI:10.3758/s13423-023-02356-5
PMID:37640835
Abstract

The body of research on visual working memory (VWM)-the system often described as a limited memory store of visual information in service of ongoing tasks-is growing rapidly. The discovery of numerous related phenomena, and the many subtly different definitions of working memory, signify a challenge to maintain a coherent theoretical framework to discuss concepts, compare models and design studies. A lack of robust theory development has been a noteworthy concern in the psychological sciences, thought to be a precursor to the reproducibility crisis (Oberauer & Lewandowsky, Psychonomic Bulletin & Review, 26, 1596-1618, 2019). I review the theoretical landscape of the VWM field by examining two prominent debates-whether VWM is object-based or feature-based, and whether discrete-slots or variable-precision best describe VWM limits. I share my concerns about the dualistic nature of these debates and the lack of clear model specification that prevents fully determined empirical tests. In hopes of promoting theory development, I provide a working theory map by using the broadly encompassing memory for latent representations model (Hedayati et al., Nature Human Behaviour, 6, 5, 2022) as a scaffold for relevant phenomena and current theories. I illustrate how opposing viewpoints can be brought into accordance, situating leading models of VWM to better identify their differences and improve their comparison. The hope is that the theory map will help VWM researchers get on the same page-clarifying hidden intuitions and aligning varying definitions-and become a useful device for meaningful discussions, development of models, and definitive empirical tests of theories.

摘要

关于视觉工作记忆(VWM)——该系统常被描述为一个有限的视觉信息存储库,用于服务正在进行的任务——的研究主体正在迅速增长。众多相关现象的发现,以及工作记忆的许多细微不同的定义,意味着要维持一个连贯的理论框架来讨论概念、比较模型和设计研究是一项挑战。缺乏强大的理论发展一直是心理科学中一个值得关注的问题,被认为是可重复性危机的一个先兆(奥伯奥尔和莱万多夫斯基,《心理onomic通报与评论》,26,1596 - 1618,2019)。我通过审视两个突出的争论——VWM是基于对象还是基于特征,以及离散插槽还是可变精度最能描述VWM的限制——来回顾VWM领域的理论格局。我分享了我对这些争论的二元性质以及缺乏清晰的模型规范从而妨碍完全确定的实证检验的担忧。为了促进理论发展,我提供了一个工作理论图,以广泛涵盖的潜在表征记忆模型(赫达亚蒂等人,《自然·人类行为》,6,5,2022)为支架,来梳理相关现象和当前理论。我说明了如何使对立观点达成一致,定位VWM的主要模型以更好地识别它们的差异并改进比较。希望这个理论图将帮助VWM研究人员达成共识——澄清隐藏的直觉并统一不同的定义——并成为进行有意义的讨论、模型开发和理论的确证性实证检验的有用工具。

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Prioritization sharpens working memories but does not protect them from distraction.优先化会增强工作记忆,但不能防止工作记忆受到干扰。
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You cannot "count" how many items people remember in visual working memory: The importance of signal detection-based measures for understanding change detection performance.
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Visual working memory models of delayed estimation do not generalize to whole-report tasks.视觉工作记忆模型的延迟估计不能推广到全报告任务。
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