Announcements
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IMPORTANT ANNOUNCEMENT: To accommodate reviewer and recommender holiday schedules, we will be closed to ALL submissions from 1st Jul - 1st Sep. During this time, reviewers can submit reviews and recommenders can issue decisions, but no new or revised submissions can be made by authors.
The one exception to this rule is that authors using the scheduled track who submit their initial Stage 1 snapshot prior to 1st Jul can choose a date within the shutdown period to submit their full Stage 1 manuscript.
We recommend that authors submit at least 1-2 weeks prior to commencement of the shutdown period to enable time to make any required revisions prior to in-depth review.
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Latest recommendations
Id | Title * | Authors * | Abstract * | Picture | Thematic fields * ▲ | Recommender | Reviewers | Submission date | |
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A Laboratory Experiment on Using Different Financial-Incentivization Schemes in Software-Engineering ExperimentationDmitri Bershadskyy, Jacob Krüger, Gül Çalıklı, Siegmar Otto, Sarah Zabel, Jannik Greif, Robert Heyer https://arxiv.org/pdf/2202.10985Bug detection in software engineering: which incentives work best?Recommended by Chris ChambersBug detection is central to software engineering, but what motivates programmers to perform as optimally as possible? Despite a long history of economic experiments on incentivisation, there is surprisingly little research on how different incentives shape software engineering performance.
In the current study, Bershadskyy et al. (2024) undertook an experiment to evaluate how the pay-off functions associated with different financial incentives influence the performance of participants in identifying bugs during code review. The authors hypothesised that performance-based incentivisation would result in higher average performance, as defined using the F1-score, and that different incentivisation schemes may also differ in their effectiveness.
The results did not support the preregistered predictions, with no statistically significant differences in F1-score observed between groups that received performance-based incentives compared to a control group that received no incentive. Exploratory analyses suggested some potential trends of interest, but the main implication of this work is methodological: that experiments in this field require substantially larger sample sizes to provide definitive tests. The current work is valuable in providing a novel unbiased insight on the magnitude of this challenge, which is now primed for further investigation.
The Stage 2 manuscript was evaluated over one round of in-depth review. Based on detailed responses to the recommender and reviewer's comments, 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/s36c2 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: References
Bershadskyy, D., Krüger, J., Çalıklı, G., Siegmar, O., Zabel, S., Greif, J. and Heyer, R. (2024). A Laboratory Experiment on Using Different Financial-Incentivization Schemes in Software-Engineering Experimentation. Acceptance of Version 8 by Peer Community in Registered Reports. https://arxiv.org/pdf/2202.10985
| A Laboratory Experiment on Using Different Financial-Incentivization Schemes in Software-Engineering Experimentation | Dmitri Bershadskyy, Jacob Krüger, Gül Çalıklı, Siegmar Otto, Sarah Zabel, Jannik Greif, Robert Heyer | <p>In software-engineering research, many empirical studies are conducted with open-source or industry developers. However, in contrast to other research communities like economics or psychology, only few experiments use financial incentives (i.e.... | Computer science | Chris Chambers | 2024-03-20 07:44:51 | View | ||
03 Jun 2025
STAGE 1
![]() Does the valence-dominance model apply to deepfake faces? Validation and its impact on deepfake detectionGianmarco Convertino, Mara Stockner, Michela Marchetti, Danilo Mitaritonna, Luca Corvitto, Luca Maiano, Lorenzo Papa, Irene Amerini, Giuliana Mazzoni https://osf.io/6ms2e?view_only=7fc853b03c9d4b03a3b111d6412a0e3aHow deep are deepfake pictures? Testing the valence-dominance model for face perceptionRecommended by Hedwig EisenbarthAccording to the popular valence-dominance model of face perception, social judgments of faces are defined along two dimensions: valence (trustworthiness) and dominance (the extent to which the face is perceived as having the ability to inflict harm). Here, Convertino et al. (2025) propose to investigate the applicability of the valence-dominance model to how people perceive deepfake pictures – images that have been digitally manipulated using AI-driven deep learning techniques. The study addresses the pressing question about how humans perceive such artificial pictures and systematically investigates which aspects of faces contribute to the judgment of whether a face is real or fake.
This proposal is notable for its thorough design with precise hypotheses, which will help generate clear answers the question of whether the valence-dominance model applies to deepfake faces, and whether social evaluations mediate their detection. The results will also be relevant for applied areas such as forensic investigations and any context that uses face recognition.
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).
URL to the preregistered Stage 1 protocol: https://osf.io/3n7jp
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: References
Convertino, G., Stockner, M., Marchetti, M., Mitaritonna, D., Corvitto, L., Maiano, L., Papa, L., Amerini, I., & Mazzoni, G. (2025). Does the valence-dominance model apply to deepfake faces? Validation and its impact on deepfake detection. In principle acceptance of Version 2 by Peer Community in Registered Reports. https://osf.io/3n7jp
| Does the valence-dominance model apply to deepfake faces? Validation and its impact on deepfake detection | Gianmarco Convertino, Mara Stockner, Michela Marchetti, Danilo Mitaritonna, Luca Corvitto, Luca Maiano, Lorenzo Papa, Irene Amerini, Giuliana Mazzoni | <p>Artificial Intelligence has given rise to increasingly more realistic fake contents such as deepfake faces, hardly distinguishable from real faces. However, evidence has shown that social evaluations of real faces are also able to impact the de... | Computer science, Life Sciences, Social sciences | Hedwig Eisenbarth | Alexander Todorov, Kimberly Mai, Markus Appel, Jan-Philipp Stein, Julia Baum, Daniel Carragher, Kay Ritchie, Jet Sanders, Eilidh Noyes, David Robertson, Rob Jenkins, Martin Maier, Raffaele Tucciarelli | 2024-06-11 16:45:37 | View | |
16 Aug 2023
STAGE 1
![]() Identifying relevant experiences to the measurement of social media experience via focus groups with young people: A registered reportJo Hickman Dunne, Louise Black, Emily Banwell, Pratyasha Nanda, Molly Anderton, Lily Corke Butters, Ola Demkowicz, Brittany Davidson, Pamela Qualter, Neil Humphrey, Caroline Jay, and Margarita Panayiotou https://psyarxiv.com/erjvz/A mental health perspective to adolescents’ social media experiencesRecommended by Veli-Matti KarhulahtiMeasuring people’s experiences, thoughts, and mental processes has always been a core challenge of psychological science (e.g. Nisbett & Wilson 1977). When such measurement further relates to rapidly changing and conceptually diverse human-technology interactions, the task becomes even more difficult due to protean, multidimensional constructs. A good understanding of a construct is a basic step in its measurement (Borsboom 2005).
In the present registered report, Hickman Dunne et al. (2023) carry out a focus group study with adolescents (n=32) aged 11 to 15 in Northwest England to improve the understanding of constructs related to social media and mental health experiences. The work is carried out as part of a long-term measure development project. The authors apply reflexive thematic analysis to explore adolescents’ social media use experiences and related motivations in the light of mental health, in addition to which the adolescents’ own views of benefits and risks are mapped out. A particular strength of the design is the engagement of three Young Researchers who will co-facilitate the focus groups and be involved in the analysis. The research plan also meets high reflexivity and transparency criteria, and as such, can significantly contribute to future scale development as well as our general understanding of adolescents’ social media experiences. The Stage 1 manuscript was reviewed over two rounds by five unique reviewers, one of which participated in both rounds. The reviewers’ expertise ranged from social media and technology use research to health psychology and qualitative methods. Based on careful revisions and detailed responses to the reviewers’ comments, the recommender judged that the manuscript met the Stage 1 criteria and therefore awarded in-principle acceptance. URL to the preregistered Stage 1 protocol: https://osf.io/w24ec
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. Borsboom, D. (2005). Measuring the mind: Conceptual issues in contemporary psychometrics. Cambridge University Press. 3. Nisbett, R. E., & Wilson, T. D. (1977). Telling more than we can know: Verbal reports on mental processes. Psychological review, 84, 231–259. https://doi.org/10.1037/0033-295X.84.3.231
2. Hickman Dunne J., Black L., Banwell E., Nanda P., Anderton M, Butters L.C., Demkowicz O., Davidson B., Qualter P., Humphrey N., Jay C., and Panayiotou M. (2023). Identifying relevant dimensions to the measurement of adolescent social media experience via focus groups with young people: A registered report. In principle acceptance of Version 5 by Peer Community in Registered Reports. https://osf.io/w24ec | Identifying relevant experiences to the measurement of social media experience via focus groups with young people: A registered report | Jo Hickman Dunne, Louise Black, Emily Banwell, Pratyasha Nanda, Molly Anderton, Lily Corke Butters, Ola Demkowicz, Brittany Davidson, Pamela Qualter, Neil Humphrey, Caroline Jay, and Margarita Panayiotou | <p>Background: While work on the relationship between social media use and adolescent mental health has allowed for some progress, research in this area is still relatively new and shows mixed evidence. This is partly the consequence of a rapidly ... | Computer science, Social sciences | Veli-Matti Karhulahti | 2023-06-14 21:10:43 | View | ||
28 Apr 2025
STAGE 1
![]() Language models accurately infer correlations between psychological items and scales from text aloneBjörn E. Hommel, Ruben C. Arslan https://osf.io/preprints/psyarxiv/kjuceUsing large language models to predict relationships among survey scales and items from textRecommended by Matti VuorreHow are the thousands of existing, and yet to be created, psychological measurement instruments related, and how reliable are they? Hommel and Arslan (2024) have trained a language model--SurveyBot3000--to provide answers to these questions efficiently and without human intervention.
In their Stage 1 submission, the authors describe the training and pilot validation of a statistical model whose inputs are psychological measurement items or scales, and outputs are the interrelationships between the items, scales, and their reliabilities. The pilot results are promising: SurveyBot3000's predicted inter-scale correlations were extremely strongly associated with empirical correlations from existing human data.
The authors now plan for a further examination their model's performance and validity. They will collect novel test data across a large number of subjects, and again test the model's performance fully out of sample. Reviewers deemed these plans, and their associated planned analyses suitable. The anticipated results--along with already existing pilot results--promise a very useful methodological innovation to aid researchers in both selecting and evaluating existing measures, and developing and testing new measures.
The Stage 1 submission was reviewed twice by three reviewers each with expertise in the area. All reviewers identified the initial submission as timely and important, and suggested mostly editorial improvements that could be made to the Stage 1 report. After two rounds of review, the relatively minor remaining suggestions can be taken into account during preparation of the Stage 2 report.
URL to the preregistered Stage 1 protocol: https://osf.io/2c8hf
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:
References
Hommel, B. E., & Arslan, R. C. (2024). Language models accurately infer correlations between psychological items and scales from text alone. In principle acceptance of Version 4 by Peer Community in Registered Reports. https://osf.io/2c8hf
| Language models accurately infer correlations between psychological items and scales from text alone | Björn E. Hommel, Ruben C. Arslan | <p>Many behavioural scientists do not agree on core constructs and how they should be measured. Different literatures measure related constructs, but the connections are not always obvious to readers and meta-analysts. Many measures in behavioural... | Computer science, Social sciences | Matti Vuorre | Johannes Breuer, Anonymous, Hu Chuan-Peng | 2024-04-22 14:09:41 | View | |
09 Jun 2025
STAGE 1
![]() Mapping Psychology Students’ Conversations with a Large Language Model (LLM)-Powered Statistics ChatbotLeonardo Bergmann, Luis Britz, Benjamin Roth, Ulrich S. Tran https://osf.io/2bjtcLarge Language Models as Statistics SupportRecommended by Veli-Matti KarhulahtiLarge language models (LLMs) are being increasingly integrated into institutional settings in multiple different roles, arguably contributing to an ongoing transformation of cultural evolution (Brinkmann et al. 2023). Considering this change in academic institutions across disciplines and countries too, it is important to advance knowledge regarding their usage in such settings. Here, Bergmann and colleagues (2025) tackle this research gap with upcoming user data from psychology students (N=1450) who communicate with a statistics chatbot by OpenAI’s GPT-4o, StatsBot, as part of their studies.
The study design is built on a three-step mixed-method process, starting from deductive and inductive content analysis, and concluding with descriptive statistical analysis. The plan was shaped by a detailed pilot with similar StatsBot data (n=85) that enabled crafting a transparent plan for follow-up content analysis. Additional statistical explorations, such as those via network analyses, are promising and can yield valuable insights regarding the functions and utility of LLMs in learning processes. Comparative testing of LLMs and human analysis adds an informative meta-layer to the design. The Stage 1 manuscript was reviewed by four experts, including two from psychology, one from computer science, and one specialized in the technical aspects of LLMs. Two experts returned to provide feedback on the revisions over a second review round. The third revision of the protocol was considered to satisfy Stage 1 criteria and was therefore awarded in-principle acceptance (IPA). URL to the preregistered Stage 1 protocol: https://osf.io/v6bj2 Level of bias control achieved: Level 5. All of the data or evidence that will be used to answer the research question already exist, but are currently inaccessible to the authors and thus unobservable prior to IPA.
List of eligible PCI-RR-friendly journals:
| Mapping Psychology Students’ Conversations with a Large Language Model (LLM)-Powered Statistics Chatbot | Leonardo Bergmann, Luis Britz, Benjamin Roth, Ulrich S. Tran | <p>Large language models (LLMs), such as ChatGPT from OpenAI, have garnered substantial attention in recent years. These artificial intelligence (AI) tools are capable of performing a range of textual tasks and have been promoted to support resear... | Computer science, Social sciences | Veli-Matti Karhulahti | 2024-11-29 20:09:47 | View | ||
05 Jun 2024
STAGE 1
![]() Dose-response of tDCS effects on motor learning and cortical excitability: a preregistered studyGavin Hsu, Dylan J. Edwards, Leonardo G. Cohen, Lucas C. Parra https://osf.io/k6abpHow stimulation intensity affects motor learningRecommended by Christina ArtemenkoIn neurostimulation research, the parameters of a stimulation protocol crucially impact on the effects of the stimulation. Transcranial direct current stimulation (tDCS) is a neurostimulation technique that typically uses current intensities about 1-2 mA in human research to modulate motor and cognitive behavior. The current sham-controlled study by Hsu et al. (2024) applies current intensities not only of 2 mA but also of 4 mA and 6 mA and thus extends our understanding of stimulation parameters while ethical standards are preserved.
The influence of tDCS over the primary motor cortex will be evaluated for neural plasticity during motor learning. Stimulation effects will be tested not only behaviorally but also physiologically by motor evoked potentials elicited by transcranial magnetic stimulation (TMS). The presented pilot data are promising and underline the feasibility of the proposed research design. The study will contribute to tDCS research by uncovering reasons for controversial findings and thus increase reproducibility.
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/jyuev
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
Hsu, G., Edwards, D. J., Cohen, L. G., & Parra, L. C. (2024). Dose-response of tDCS effects on motor learning and cortical excitability: a preregistered study. In principle acceptance of Version 1.3 by Peer Community in Registered Reports. https://osf.io/jyuev
| Dose-response of tDCS effects on motor learning and cortical excitability: a preregistered study | Gavin Hsu, Dylan J. Edwards, Leonardo G. Cohen, Lucas C. Parra | <p>Neuromodulatory effects of transcranial direct current stimulation (tDCS) on the primary motor cortex (M1) have been reported in terms of changes in corticospinal excitability using motor evoked potentials (MEPs), as well as behavioral effects ... | ![]() | Engineering, Life Sciences | Christina Artemenko | 2024-01-11 00:11:23 | View | |
24 Sep 2024
STAGE 1
![]() Independent Comparative Evaluation of the Pupil Neon - A New Mobile Eye-trackerValentin Foucher, Alina Krug, Marian Sauter https://osf.io/jcu2t?view_only=2627595019be4f92abf0bf338c83ee68Assessing the Promise of Affordable, Mobile Eye-Tracking Devices: Evaluation of the Pupil NeonRecommended by Rima-Maria RahalStudying eye-gaze has long been employed as a central method for understanding attentional dynamics and cognitive processes in a variety of domains. The development of affordable, mobile eye-tracking devices, such as the Pupil Neon, promises new opportunities to extend this research beyond the contexts in which traditional eye-trackers have been available. But how good are such novel devices at detecting variables relevant for the study of eye movements and pupil dilations?
Foucher, Krug and Sauter (2024) propose an independent evaluation of the Pupil Neon eye-tracker using the Ehinger et al. (2019) test battery, comparing its performance with a traditional EyeLink 1000 Plus device. In an empirical study, participants will be asked to perform a wide variety of tasks while eye movements and pupil dilations are tracked using both devices. Results on the strengths and weaknesses, as well as potential use cases of the Pupil Neon will be informative for subsequent eye-tracking research.
The Stage 1 manuscript was evaluated over two rounds of in-depth review. Based on detailed responses to the recommender and 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/3kc5t
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:
References: 1. Ehinger, B. V., Groß, K., Ibs, I., and König, P. (2019). A New Comprehensive Eye-Tracking Test Battery Concurrently Evaluating the Pupil Labs Glasses and the Eyelink 1000. PeerJ, 7, e7086. https://doi.org/10.7717/peerj.7086 2. Foucher, V., Krug, A., and Sauter, M. (2024). Independent Comparative Evaluation of the Pupil Neon - A New Mobile Eye-tracker. In principle acceptance of Version 3 by Peer Community in Registered Reports. https://osf.io/3kc5t | Independent Comparative Evaluation of the Pupil Neon - A New Mobile Eye-tracker | Valentin Foucher, Alina Krug, Marian Sauter | <p>Due to the rapid adoption of (mobile) eye-tracking devices in both academic and consumer research, it becomes more important that the increasing number of datasets is based on reliable recordings. This study provides an independent evaluation o... | Engineering, Life Sciences, Social sciences | Rima-Maria Rahal | 2024-05-29 10:29:06 | View | ||
Dose-response of tDCS effects on motor learning and cortical excitability: a preregistered studyGavin Hsu, Zhenous Hadi Jafari, Abdelrahman Ahmed, Dylan J. Edwards, Leonardo G. Cohen, Lucas C. Parra https://osf.io/a42uyIncreasing stimulation intensity does not affect motor learningRecommended by Christina ArtemenkoIn neurostimulation research, the parameters of a stimulation protocol crucially impact on the effects of the stimulation. Transcranial direct current stimulation (tDCS) is a neurostimulation technique that typically uses current intensities about 1-2 mA in human research to modulate motor and cognitive behavior. The current sham-controlled study by Hsu et al. (2024) applies current intensities not only of 2 mA but also of 4 mA and 6 mA and thus extends our understanding of stimulation parameters while ethical standards are preserved.
The influence of tDCS over the primary motor cortex was evaluated for neural plasticity during motor learning. Stimulation effects were tested not only behaviorally but also physiologically by motor evoked potentials elicited by transcranial magnetic stimulation (TMS). The presented pilot data were promising and underlined the feasibility of the proposed research design. The study contributes to tDCS research by uncovering reasons for controversial findings and thus increases reproducibility.
The results of the study unexpectedly revealed no stimulation effects on motor learning, neither for behavioral outcomes nor for physiological outcomes by motor evoked potentials. No evidence was found that stimulation effects linearly increase with increasing intensity. Interestingly, higher intensities were relatively well tolerated - but did not have any impact. The current findings underline the purpose of preregistrations and registered reports to act against publication bias, particulary in the field of neuromodulation. In the current case, failed replication and null findings - revealed by a methodologically sound study - are crucial to inform future research using similar stimulation protocols with the aim to modulate motor or cognitive behavior.
The Stage 2 manuscript was evaluated over one round of review. Based on detailed responses to reviewers’ and the recommender’s comments, 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/jyuev
Level of bias control achieved: Level 2. At least some data/evidence that was used to answer the research question had been accessed and partially observed by the authors prior to Stage 1 in-principle acceptance, but the authors certify that they had not yet observed the key variables within the data that were used to answer the research question. List of eligible PCI RR-friendly journals: References
Hsu, G., Jafari, Z. H., Ahmed, A., Edwards, D. J., Cohen, L. G., & Parra, L. C. (2024). Dose-response of tDCS effects on motor learning and cortical excitability: a preregistered study [Stage 2]. Acceptance of Version 2.1 by Peer Community in Registered Reports. https://osf.io/a42uy
| Dose-response of tDCS effects on motor learning and cortical excitability: a preregistered study | Gavin Hsu, Zhenous Hadi Jafari, Abdelrahman Ahmed, Dylan J. Edwards, Leonardo G. Cohen, Lucas C. Parra | <p>Background: Multiple studies have demonstrated that transcranial direct current stimulation (tDCS) of the primary motor cortex (M1) can influence corticospinal excitability and motor skill acquisition. However, the evidence for these effects i... | ![]() | Engineering, Medical Sciences | Christina Artemenko | 2024-09-02 19:07:02 | View | |
14 Jun 2025
STAGE 1
![]() Unveiling the neurophysiological blueprint of Sense of Agency in Borderline Personality Disorder: implications for self-other differentiationMarcella Romeo, Marta Bortoletto, Agnese Zazio, Livia Colle, Carlotta Zampese, Claudia Fracassi, Roberta Rossi, Emiliano Ricciardi, Francesca Garbarini, Carlotta Fossataro https://osf.io/4dwxa?view_only=5ecc74de6c1f4c1093a1a598214182b7Impaired self other discrimination in borderline personality disorderRecommended by Robert McIntoshBorderline personality disorder may be associated with an impaired tendency to discriminate self and other. When people cause tactile sensations to themselves, these sensations are attenuated relative to the same tactile stimulus caused by others. This sensory attenuation is a reflection of the ability to discriminate self and other. Sensory attenuation can be indexed either by reduced ratings of perceived intensity for self versus other-generated stimuli; or by reduced somatosensory evoked potentials for self versus other-generated stimuli. One theory of self-injury in borderline personality disorder is that people with borderline personality disorder who injure themselves (non-suicidally) may regain appropriate self-other discrimination.
Romeo et al. (2025) will test the theory that people with borderline personality disorder without self-injury have an impaired tendency to discriminate self and others by having three groups of people receive small electric shocks delivered either by their own actions or the actions of the experimenter. Perceived intensity and somatosensory evoked potentials will be used to measure sensory attenuation for self versus other-generated actions. The theory predicts that sensory attenuation will be impaired for people with borderline personality disorder without self-injury relative to both a) healthy controls, and b) people with personality disorder with self-injury. This will be an important study for assessing self-other representation in borderline personality disorder. The Stage 1 manuscript was evaluated over six rounds of peer review. Based on detailed responses to the reviewers' comments, the recommender judged that the manuscript met the Stage 1 criteria and was therefore awarded in-principle acceptance (IPA).
URL to the preregistered Stage 1 protocol: https://osf.io/sztek
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:
References Romeo, M., Bortoletto, M., Zazio, A., Colle, L., Zampese, C., Fracassi, C., Rossi, R., Ricciardi, E., Garbarini, F., & Fossataro, C. (2025). Unveiling the neurophysiological blueprint of Sense of Agency in Borderline Personality Disorder: implications for self-other differentiation. In principle acceptance of Version 7 by Peer Community in Registered Reports. https://osf.io/sztek
| Unveiling the neurophysiological blueprint of Sense of Agency in Borderline Personality Disorder: implications for self-other differentiation | Marcella Romeo, Marta Bortoletto, Agnese Zazio, Livia Colle, Carlotta Zampese, Claudia Fracassi, Roberta Rossi, Emiliano Ricciardi, Francesca Garbarini, Carlotta Fossataro | <p>Borderline personality disorder (BPD) is characterized by instability in identity, relationships, and affect and has been associated with impaired self-other discrimination, reflecting difficulties in distinguishing between self and others' per... | Humanities, Life Sciences, Medical Sciences | Robert McIntosh | 2024-03-14 18:28:24 | View | ||
26 Apr 2022
STAGE 1
![]() Do task-irrelevant cross-modal statistical regularities induce distractor suppression in visual search?Kishore Kumar Jagini and Meera Mary Sunny https://osf.io/2v3nb/?view_only=c1bf36677deb46cba762f37d7735c09cLearning cross-modally to suppress distractorsRecommended by Zoltan DienesThere 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.
List of eligible PCI RR-friendly journals:
References
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
| Do task-irrelevant cross-modal statistical regularities induce distractor suppression in visual search? | Kishore Kumar Jagini and Meera Mary Sunny | <p>We are constantly bombarded with a vast number of multisensory stimuli in our daily lives. Our sensory systems are known to extract and utilize statistical regularities in the sensory inputs across space and time to optimize the attentional ori... | Humanities, Life Sciences, Social sciences | Zoltan Dienes | 2021-12-21 15:23:20 | View |
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