The production effect is an intriguing memory phenomenon in which recall and recognition are improved when people read and study words aloud rather than silently. Although robust to a range of contexts, materials and manipulations, the underlying mechanisms that cause the production effect remain to be fully understood, largely due to the wide range of processes that are engaged during speaking compared to silent reading.

 

In the current study, Roembke and Brown (2024) ask whether semantic encoding – the encoding of new information based on its meaningful characteristics rather than sensory/perceptual characteristics – is a driving factor in production-enhanced memory. Across two carefully-controlled experiments in bilingual participants, the authors will test the hypothesis that the production effect should persist when items are matched in semantic but not other features at learning and recognition stages. If semantic encoding at least partially underpins the production effect, then they expect to observe it both when recognition items are presented as pictures or translations (their semantic recognition condition), and when recognition items match those at learning (their veridical recognition condition in which the same written words are presented at learning and recognition). Assuming also that the production effect does not rely exclusively on semantic encoding, the authors expect the production effect to be reduced in the semantic recognition conditions relative to veridical conditions in which words are matched on multiple linguistic features. 

 

The results of these experiments hold important implications for theoretical models of production-enhanced memory. If the authors find that the production effect persists when studied words can be recognised on their semantic features then this would suggest that production influences semantic encoding, which would in turn support theoretical models proposing that speaking engages modality-independent associations with semantic features. On the other hand, if no production effect is observed when participants are asked to recognise pictures or translations, this would raise the possibility that production may have little or no influence on semantic encoding, which would instead support alternative theories suggesting that speaking adds only modality-dependent features to memory traces.

 

The Stage 1 manuscript was evaluated over two rounds of in-depth review. Based on detailed responses to the reviewers' comments, the recommender judged that the manuscript met the Stage 1 criteria and therefore awarded in-principle acceptance (IPA).
 

URL to the preregistered Stage 1 protocol: https://osf.io/qc6rz
 
Level of bias control achieved: Level 6. No part of the data or evidence that will be used to answer the research question yet exists and no part will be generated until after IPA. 
 
List of eligible PCI RR-friendly journals:

 

 

Roembke, T. C. & Brown, R. M. (2024). The role of semantic encoding in production-enhanced memory: A registered report. In principle acceptance of Version 3 by Peer Community in Registered Reports. https://osf.io/qc6rz

A poor diet has severe detrimental health effects, and attempts to reduce caloric intake often prove unsuccessful. Unhealthy foods, high in fat, sugar, and salt tend to be highly appetitive, and can undermine individuals’ ability to refrain themselves from consuming them. Computerized cognitive retraining techniques have shown promise in curbing the intake of unhealthy foods and promoting weight loss. However, in real-world scenarios, adherence to such retraining programs can be suboptimal, potentially diminishing their effectiveness.

 

In the present study, Maclellan et al. (2024) aimed to investigate whether the incorporation of gamified elements, transforming the cognitive retraining task into a game-like experience, can enhance adherence and overall intervention effectiveness by boosting engagement and motivation.

 

Upon testing the main hypotheses, the authors found mostly non-significant effects of adding gamified elements to adherence, motivation, or effectiveness of food response inhibition training programs. These results hold high relevance, as indeed there has been a push in introducing gamified elements to cognitive retraining programs. These findings should guide future developments in the field of cognitive retraining.

 

The Stage 2 manuscript was evaluated over one round of review and revision. Based on detailed evaluations by two expert reviewers, the recommender judged that the manuscript met 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:
 

• Addiction Research & Theory
• Advances in Cognitive Psychology
• Collabra: Psychology
• Journal of Cognition
• Peer Community Journal
• PeerJ
• Royal Society Open Science
• Studia Psychologica
• Swiss Psychology Open
   

 

MacLellan, A., Pennington, C. R., Lawrence, N., Westwood, S. J., Jones, A., Slegrova, A., Sung, B., Parker, L., Relph, L., Miranda, J. O., Shakeel, M., Mouka, E., Lovejoy, C., Chung, C., Lash, S., Suhail, Y., Nag M., and Button​, K. S. (2024). The effects of isolated game elements on adherence rates in food response inhibition training​ [Stage 2]. Acceptance of Version 3 by Peer Community in Registered Reports.

A poor diet has severe detrimental health effects, and attempts to reduce caloric intake often prove unsuccessful. Unhealthy foods, high in fat, sugar, and salt tend to be highly appetitive, and can undermine individuals’ ability to refrain themselves from consuming them. Computerized cognitive retraining techniques have shown promise in curbing the intake of unhealthy foods and promoting weight loss. However, in real-world scenarios, adherence to such retraining programs can be suboptimal, potentially diminishing their effectiveness.

 

In the present study, Maclellan et al. (2023) aim to investigate whether the incorporation of gamified elements, transforming the cognitive retraining task into a game-like experience, can enhance adherence and overall intervention effectiveness by boosting engagement and motivation. These findings could deepen our understanding of the mechanisms through which cognitive retraining mitigates caloric intake and pave the way for more compelling and successful interventions.

 

The Stage 1 manuscript was evaluated over one round of review and revision. Based on detailed evaluations by two expert reviewers, the recommender judged that the manuscript met the Stage 1 criteria and therefore awarded in-principle acceptance (IPA).

 

URL to the preregistered Stage 1 protocol: https://osf.io/jspf3 (under temporary private embargo)

Level of bias control achieved: Level 6. No part of the data or evidence that will be used to answer the research question yet exists and no part will be generated until after IPA.
 
List of eligible PCI RR-friendly journals:
 

There are two fundamental processes that the brain engages in: statistical learning and selection. Indeed, past work has shown these processes often come together: People can use a task-irrelevant stimulus to predict a target stimulus even in different modalities (crossmodal statistical learning), thereby enhancing the processing of the target stimulus (selection). Further, people can learn where a distractor will be in order to efficiently suppress it (selecting out), using task irrelevant stimuli in the same modality (within-modality statistical learning).
 
In two experiments Jagini and Sunny found that people did not learn to use a task-irrelevant stimulus from a different modality (cross modal statistical learning) to suppress a distractor (selecting out). They also found that people had little awareness of the relation between the predictor task-irrelevant stimulus and the location of the distractor. The results may reflect limits on what can be achieved unconsciously.

 

Following peer review, the recommender judged that the manuscript met the Stage 2 criteria and awarded a positive recommendation.

 

URL to the preregistered Stage 1 protocol: https://osf.io/qjbmg
 
Level of bias control achieved: Level 6. No part of the data or evidence that was used to answer the research question existed prior to Stage 1 in-principle acceptance.
 
List of eligible PCI RR-friendly journals:
 

 

 

1. Jagini, K. K. & Sunny, M. M. (2023). No reliable effect of task-irrelevant cross-modal statistical regularities on distractor suppression. Stage 2 Registered Report, acceptance of Version 4 by Peer Community in Registered Reports. https://doi.org/10.31234/osf.io/d8wes

There are two fundamental processes that the brain engages in: statistical learning and selection. Indeed, past work has shown these processes often come together: People can use a task-irrelevant stimulus to predict a target stimulus even in different modalities (crossmodal statistical learning), thereby enhancing the processing of the target stimulus (selection). Further, people can learn where a distractor will be in order to efficiently suppress it (selecting out), using task irrelevant stimuli in the same modality (within-modality statistical learning).

 

In the current study, Jagini and Sunny will test whether people can learn where a distractor stimulus is, in order to suppress it (selecting out), using a task-irrelevant stimulus from a different modality (cross modal statistical learning). They will also test whether people can express awareness of the relation between the predictor task-irrelevant stimulus and the location of the distractor on a forced choice test. On some (but not other) theories of consciousness, such a test measures conscious knowledge of the association.

 

The Stage 1 manuscript was evaluated over two rounds of in-depth review. Based on detailed responses to the reviewers' comments, the recommender judged that the manuscript met the Stage 1 criteria and therefore awarded in-principle acceptance (IPA).

 

URL to the preregistered Stage 1 protocol: https://osf.io/qjbmg

 

Level of bias control achieved: Level 6. No part of the data or evidence that will be used to answer the research question yet exists and no part will be generated until after IPA. 

 

 

 

1. Jagini, K. K. & Sunny, M. M. (2022). Do task-irrelevant cross-modal statistical regularities induce distractor suppression in visual search? Stage 1 Registered Report, in principle acceptance of Version 4 by Peer Community in Registered Reports. https://osf.io/qjbmg