Paid loot boxes, i.e. randomised monetization methods that are similar to lottery-type gambling, have become prominent features of contemporary gaming (e.g., Macey & Bujić, 2022). Because the design structures of loot boxes vary and the value of their virtual rewards is not always clear-cut, many countries now struggle how to deal with them legally and in practice (see Drummond et al., 2020). Belgium is one of the few countries that have officially interpreted loot box monetization to widely belong under gambling regulation. Mobile games that monetize with paid loot boxes in Belgium should thus apply for a gambling license, and companies should generally not offer paid loot boxes to local underage players at all.
 
In this Stage 1 Registered Report, Xiao (2022) has constructed a careful plan for testing whether the “ban” in Belgium has made the local mobile game market distinct in terms of paid loot boxes. The work builds on a rapidly accumulating literature and evolving methods (e.g., Xiao et al., 2021). The author will carry out a systematic qualitative investigation of the country’s top 100 (iPhone) mobile games to investigate whether paid loot box design components have indeed been removed from the products -- and if not, whether related game companies operate with a required gambling license. Additionally, Xiao (2022) will assess Belgium’s overall paid loot box prevalence in comparison to other countries and carry out a field experiment to test whether players can easily circumvent the local regulation by transporting or downloading different versions of software.
 
The study will produce valuable evidence regarding the effectiveness of loot box regulation in general, and more specifically, the results should be of utmost interest to Belgian legal authorities. To ensure the transparency and validity of the chosen methods as well as upcoming interpretations, the registered report format allowed the research design to be reviewed in three rounds before data collection. Three experts, representing the fields of law and gaming, reviewed the Stage 1 manuscript twice and agreed upon the acceptance of all details. Finally, the recommender carried out a third iteration with further requested revisions, which was followed by in-principle acceptance. 

 

Paid loot boxes – items bought for real-world money that offer randomised rewards – are a prevalent feature of contemporary video games (Zendle et al., 2020). Because they employ random chance to provide rewards after spending real money, loot boxes have been considered a form of gambling, raising concerns about risk of harm to children and other vulnerable users. In response, some countries have taken legal steps to regulate and even ban the use of loot boxes, with only limited success so far (Xiao, 2022). At the same time, the Entertainment Software Rating Board (ESRB) and PEGI (Pan-European Game Information) now expect games that contain loot boxes to be marked with warning labels that, in theory, will enable users (including parents) to make more informed decisions. These requirements by ESRB/PEGI are not legally binding and may be considered a form of industry self-regulation.

 

In the current study, Xiao (2023) will investigate the effectiveness of self-regulation in the use of loot box labels. Study 1 examines the consistency of warning labels by the ESRB and PEGI, with the expectation that if self-regulation works as it should then these labels should always (or nearly always) co-occur. Study 2 establishes the compliance rate for labelling among popular games that are known to contain loot boxes, with a rate of ≥95% considered to be successful. The findings should prove useful in identifying the success or failure of self-regulation as a means of ensuring industry compliance with loot box labelling.

 

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/e6qbm

 

Level of bias control achieved: Level 3. At least some data/evidence that will be used to the answer the research question has been previously accessed by the authors (e.g. downloaded or otherwise received), but the authors certify that they have not yet observed ANY part of the data/evidence.
 
List of eligible PCI RR-friendly journals:

 

 

 

1. Zendle, D., Meyer, R., Cairns, P., Waters, S., & Ballou, N. (2020). The prevalence of loot boxes in mobile and desktop games. Addiction, 115(9), 1768-1772. https://doi.org/10.1111/add.14973

2. Xiao, L. Y. (2022). Breaking Ban: Belgium’s ineffective gambling law regulation of video game loot boxes. Stage 2 Registered Report, acceptance of Version 2 by Peer Community in Registered Reports. https://doi.org/10.31219/osf.io/hnd7w 

 

3. Xiao, L. Y. (2023). Beneath the label: Assessing video games’ compliance with ESRB and PEGI loot box warning label industry self-regulation, in principle acceptance of Version 3 by Peer Community in Registered Reports. https://osf.io/e6qbm

Video games may provide the option of spending real money in exchange for probabilistically receiving game-relevant rewards; in effect, encouraging potentially young teenagers to gamble. The industry has subscribed to a set of regulatory principles to cover the use of such "loot boxes", including 1) that they will prevent loot box purchasing by under 18s unless parental consent is given; 2) that they will make it initially clear that the game contains loot boxes; and 3) that they will clearly disclose the probabilities of receiving different rewards.

 

Can the industry effectively self regulate? Xiao (2024) will evaluate this important question by investigating the 100 top selling games on the Apple App Store and estimating the percentage compliance to these three regulatory principles at two time points 6 months apart.

 

The Stage 1 manuscript was evaluated over one round 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).

 

 
Level of bias control achieved: Level 2. At least some data/evidence that will be used to answer the research question has been accessed and partially observed by the authors, but the authors certify that they have not yet observed the key variables within the data that will be used to answer the research question.

 

List of eligible PCI RR-friendly journals:
 

 
References
 
1. Xiao, L. (2024). Assessing compliance with UK loot box industry self-regulation on the Apple App Store: a 6-month longitudinal study on the implementation process. In principle acceptance of Version 3 by Peer Community in Registered Reports. https://osf.io/3knyb

Ensuring universal access to sexual and reproductive health and reproductive rights is a global concern, exemplified by goal 5.6 of the Sustainable Development Goals (UN General Assembly, 2015). Whilst the range of contraceptive options have increased, our understanding of the impacts of use for women are inadequate and represent a key barrier to positive change in policies and practices. In particular, we have few consensuses on the expected impacts of hormonal contraceptive use on women's sexuality and wellbeing.

 

In the current programmatic submission, Botzet et al. (2023) argue that this inconclusive evidence base could be due to the wide heterogeneity in responses, the impacts of this heterogeneity upon attrition, differences in contraceptive methods and dosage effects, confounders, and the potential for reverse causality. Tackling some of these potential factors, Botzet (2023) explore whether hormonal contraceptive use influences sexuality and well-being outcomes, and whether (and to what extent) the effects vary between women. To achieve this they have proposed analysis of longitudinal data from the German Family Panel (PAIRFAM) which includes annual waves of data collection from >6500 women, with separate Stage 2 submissions planned to report findings based on sexuality and well-being. The proposed work will progress our understanding of the impact of hormonal contraceptives by overcoming limitations of more common research approaches in this field, and has the potential to contribute to a more contextualised view of the impact of their impacts in real-world practice.

 

The Stage 1 manuscript was evaluated over three 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).

 

 

Level of bias control achieved: Level 3: At least some of the data/evidence that will be used to answer the research question already exists AND is accessible in principle to the authors BUT the authors certify that they have not yet accessed any part of that data/evidence.

 

 

• Collabra: Psychology
• Peer Community Journal
• PeerJ
• Royal Society Open Science
• Studia Psychologica
• Swiss Psychology Open
  
  

 

Botzet, L. J., Rohrer, J. M., Penke, L. & Arslan, R. C. (2023). Hormonal Contraceptive Use and Women's Sexuality and Well-Being: Estimating Treatment Effects and Their Heterogeneity Based on Longitudinal Data. In principle acceptance of Version 3 by Peer Community in Registered Reports. https://osf.io/kj3h2

 

UN General Assembly (2015). Transforming our world : the 2030 Agenda for Sustainable Development, 21 October 2015, A/RES/70/1. Available at: https://www.refworld.org/docid/57b6e3e44.html [accessed 27 September 2023]

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