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