
Evaluating adaptive and attentional accounts of sensorimotor effects in word recognition memory

Sensorimotor Effects in Surprise Word Memory – a Registered Report
Abstract
Recommendation: posted 07 March 2025, validated 07 March 2025
Cohen, C. and Chambers, C. (2025) Evaluating adaptive and attentional accounts of sensorimotor effects in word recognition memory . Peer Community in Registered Reports, 100902. 10.24072/pci.rr.100902
This is a stage 2 based on:
Recommendation
In the current study, Dymarska and Connell (2025) tested two competing theories that can explain the increased confusability of body-related words: 1) the adaptive account - contextual elaboration-based strategies activate other concepts related to body and survival, increasing confusability; and 2) the attentional account - somatic attentional mechanisms automatically induce similar tactile and interoceptive experiences upon seeing body-related words leading to less distinctive memory traces. The adaptive account leads to different predictions under intentional and incidental memory conditions. Specifically, contextual elaboration strategies are unlikely to be employed when participants do not expect a memory test and therefore in an incidental memory task, body-related words should not lead to inflated false alarm rates (see Hintzman (2011) for a discussion on incidental memory tasks and the importance of how material is processed during memory tasks). However, the attentional account is not dependent on the task instructions or the knowledge about an upcoming memory test.
Here, Dymarska and Connell (2025) undertook an incidental recognition memory experiment with over 5000 words, disguised as a lexical decision task using carefully matched pseudowords during the encoding phase. The sample size was determined by using a sequential hypothesis testing plan with Bayes Factors. To test the predictions of the adaptive and attentional accounts, the authors derived a set of lexical and sensorimotor variables (including a body-component) after dimensionality reduction of a comprehensive set of lexical and semantic word features. The analysis involved running both Bayesian and frequentist hierarchical linear regression to explain four different measures of recognition memory performance based on the key sensorimotor variables and other baseline/confounding variables. While this analysis plan enables a comparison with the earlier results from an expected memory test (Dymarska et al., 2023), the current study is self-contained in that it is possible to distinguish the adaptive and attentional accounts based on the effect of body component scores on hit rate and false alarm rate.
The manuscript was evaluated over one round of review, after which the recommenders judged that the submission satisfied the Stage 2 criteria and awarded a positive recommendation.
Level of bias control achieved: Level 6. No part of the data or evidence that was used to answer the research question was generated until after IPA.
List of eligible PCI RR-friendly journals:
Dymarska, A., Connell, L. & Banks, B. (2023). More is Not Necessarily Better: How Different Aspects of Sensorimotor Experience Affect Recognition Memory for Words. Journal of Experimental Psychology: Language, Memory, Cognition. Advance online publication. https://dx.doi.org/10.1037/xlm0001265
Glanzer, M., & Adams, J. K. (1985). The mirror effect in recognition memory. Memory & Cognition, 13, 8-20. https://doi.org/10.3758/BF03198438
Hintzman, D. L. (2011). Research strategy in the study of memory: Fads, fallacies, and the search for the “coordinates of truth”. Perspectives on Psychological Science, 6, 253-271. https://doi.org/10.1177/1745691611406924
The recommender in charge of the evaluation of the article and the reviewers declared that they have no conflict of interest (as defined in the code of conduct of PCI) with the authors or with the content of the article.
Evaluation round #1
DOI or URL of the report: https://osf.io/mg9jt
Version of the report: 1
Author's Reply, 08 Feb 2025
Decision by Clara Cohen and Chris Chambers
, posted 29 Jan 2025, validated 29 Jan 2025
Reviewed by Gordon Feld, 25 Nov 2024
Overall, the authors stuck to their plan and report the results in an unbiased way. The discussion is aligned with the results and offers speculations on those that are not predicted by the hypotheses.
I am unsure what the exploratory results add. Maybe the authors could explain this a little more. In this regard, it may be more interesting to perform drift diffusion modelling on the RT data. In addition, the authors may gain insights from computing the decision criterion in addition to d-prime.
These are of course just some suggestions and the stage 2 RR can of course be published as is, if the authors wish. I see no deviations from the stage 1 plan that would neccesitate a revision.