My ambitious solo paper reviewing our field is now online!

"Mapping visual working memory models to a theoretical framework" published in Psychonomic Bulletin & Review (@psychonomic_soc): https://link.springer.com/article/10.3758/s13423-023-02356-5

#psychology #science #cognition #cognitivepsychology #visionscience #visualworkingmemory

Mapping visual working memory models to a theoretical framework - Psychonomic Bulletin & Review

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.

SpringerLink
This paper starts by asking "What *is* visual working memory?". With many varying definitions, measures and models, it seemed to me that researchers are mostly talking past each other. That is, the visual working memory field may have lost sight of its theoretical underpinnings.
I point to a collective lack of direct connection between experiments and theory, which I and others believe has stemmed from an over-reliance on the hypothetico-deductive method – fueled by null-hypothesis significance testing with incautious assumptions of dichotomies.

To illustrate this, I examine a couple of recent debates in our field – objects versus features, and variable-precision versus discrete-slots – and suggest these debates may not be grounded on actual fundamental differences. The true nature of VWM is likely both or in between!

If I am accurate, then research assuming the false dichotomy between these theories, or pitting unspecified or 'weak' versions of models against each other, is simply unable to produce any critical scientific progress.

Without a well-specified theoretical framework, we do not give ourselves the chance for research that produces an incisive inference. To that end, I provide a 'theory map' – a scaffold for various VWM phenomena and models tied to a computational basis.

To be clear, I'm not exactly suggesting a new grand unified theory! The idea of a map is to aid navigation (here, in the theoretical landscape) but allow for exploration. It's a device to help our field get on the same page and communicate.

I use the Memory for Latent Representations model from
@bwyble 's lab as the basis. The reasoning was that the MLR provided a broadly encompassing computational structure from perception to output – a good starting point for a map to be refined from.

I specify prominent ideas in VWM within the theory map – discrete pointers, neural resources, feature binding, psychological similarity, interference, and more. Specification in this way may spark more philosophy of memory and theorizing.

The hope is that this provides a common basis that unifies the language in our field; in a way that reduces disagreements from subtle differences in definition or miscommunications. We can exactly connect VWM models to the phenomena they seek to explain.

That can only happen if the field decides this paper is valuable enough to read. I'm hoping this paper is given enough attention that our field decides to resist the capitalistic pressures in academia, slows down its research to refine its theoretical framework

For further context, I've long felt boxed into a theoretical camp, and my ideas had no chance of being taken seriously. With this (perhaps brave from an unlikely scientist in many ways) paper, I hope to have made a genuine contribution.

And while I am the sole author of this paper, I received helpful comments and encouragement from many, including Piotr Styrkowiec, Igor Utochkin, @PhilippMusfeld, the Awh/Vogel Lab and especially @bwyble.

I would love to hear thoughts and receive comments on any of the above – I am touring this paper through colloquia talks if you'd like to invite me! You can contact me through my website: https://williamngiam.github.io

Welcome!

Postdoctoral researcher at University of Chicago studying visual attention and working memory.

William XQ Ngiam