Peer Review History
| Original SubmissionMay 13, 2022 |
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PONE-D-22-13954Reasoning About Mental States Under UncertaintyPLOS ONE Dear Dr. Kamkar, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. All three expert revisions have found positive aspects in your manuscript. However, they also raise several important issues, many of which seem easily manageable, but some of which address both the theory and methodology. Please make sure to carefully address all of the reviewers' points before resubmitting your manuscript. Please submit your revised manuscript by Sep 08 2022 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. Please include the following items when submitting your revised manuscript:
If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter. If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols. We look forward to receiving your revised manuscript. Kind regards, Enrico Toffalini, Ph.D Academic Editor PLOS ONE Journal Requirements: When submitting your revision, we need you to address these additional requirements. 1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and 2. PLOS requires an ORCID iD for the corresponding author in Editorial Manager on papers submitted after December 6th, 2016. Please ensure that you have an ORCID iD and that it is validated in Editorial Manager. To do this, go to ‘Update my Information’ (in the upper left-hand corner of the main menu), and click on the Fetch/Validate link next to the ORCID field. This will take you to the ORCID site and allow you to create a new iD or authenticate a pre-existing iD in Editorial Manager. Please see the following video for instructions on linking an ORCID iD to your Editorial Manager account: https://www.youtube.com/watch?v=_xcclfuvtxQ. 3. Please include captions for your Supporting Information files at the end of your manuscript, and update any in-text citations to match accordingly. Please see our Supporting Information guidelines for more information: http://journals.plos.org/plosone/s/supporting-information. 4. Please provide additional details regarding ethical approval and participant consent in the body of your manuscript. In the Methods section, please ensure that you have specified: (1) the name of the IRB/ethics committee that approved your study; and for each experiment (2) whether consent was informed and (3) what type of consent you obtained (for instance, written or verbal). 5. Please include your full ethics statement in the ‘Methods’ section of your manuscript file. In your statement, please include the full name of the IRB or ethics committee who approved or waived your study, as well as whether or not you obtained informed written or verbal consent. If consent was waived for your study, please include this information in your statement as well. [Note: HTML markup is below. Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #2: Partly Reviewer #3: Partly ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes Reviewer #3: Yes ********** 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: Yes Reviewer #3: Yes ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes Reviewer #3: Yes ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: The paper describes three experiments that suggest that both quantity and quality of information are important features of social stimuli, but that the quality of available information plays a greater role in inferring the mental state of others. The study seems interesting to me, but it is not clearly described and I am not in a position to fully evaluate it at this time. I hope that my suggestions will help the authors to clarify the experimental aspects of their research. Please indicate what your hypotheses are at the end of the introduction or at the beginning of the description of each study. Study 1 Please include a brief introduction to Study 1 (as you did for Studies 2 and 3) to explain what you investigated in this particular study. For all studies Please explain in the experimental material what relates to the quantity and what relates to the quality of information that is critical for changing mental state attributions. It is not clear to me how the authors were able to investigate "whether the quantity (i.e., amount) of information alone, the quality (i.e., type) of information alone, or both are crucial for changing mental state attributions" since the variable manipulated in the experiment appears to be the degree of uncertainty. Please use the labels in a coherent way to indicate what you want to study and what you studied in the experiment. Please include a section on statistical analysis to clarify how you statistically examined your hypotheses. In the introduction (and not just before each experiment), please make it clear what specific hypothesis you wanted to test for each experiment and what variable you manipulated in each experiment. Perhaps it would help to schematize these aspects in a table. Also, it might be helpful to the reader if you indicate in each table what is being investigated. Why do the authors refer to quantity and quality of information in the general introduction and manipulate the variable consistency of information in Experiment 3? Is consistency of information part of the quality or quantity of information? I suspect quality, but the authors need to be clear from the beginning which variable was manipulated in the three experiments and explain in the introduction what they wanted to study in each experiment, how they studied it, and what hypothesis was tested in each of them. Reviewer #2: In this paper, the authors conduct three experiments designed to test the impact of the amount and quality (i.e., consistency) of information when making mental state inferences. They find that reducing the amount, and separately, the quality of the information both reduces the accuracy of mental state inferences with the impact being greater for quality than amount. The studies address a fascinating and understudied set of questions in the theory of mind literature. It brings to mind other fruitful avenues of inquiry on theory of mind such as predictive coding accounts of mental state inferences. There’s also much to admire in the manuscript itself. The paper is clearly written and I appreciate the brevity. I also commend the authors for their preregistration and open science practices. I have one primary concern about the studies. The “correct” answers are determined on the basis of those scenarios in which all the information is provided/is consistent. I’m not sure if that’s a valid way of saying what’s correct or incorrect in these scenarios, particularly in the case of the consistency manipulation. For example, with several bits of “inconsistent" information, it might turn out to be that what is considered a wrong answer is actually most accurate. That is, if given 4 bits of information considered “inconsistent" and 2 bits considered “consistent," then rationally, the accurate answer regarding the character’s mental state would be in line with the “inconsistent” information. More generally, there’s no ground truth to the mental states experienced by the characters. In fact, what might be classified as “inconsistent” could reasonably be interpreted as consistent or vice-versa (e.g., Lewis gives Clara the advertisement about the local orchestra not because he think she’s great, but because he doesn’t want her playing in the house and thinks that by playing in the local orchestra, she’ll be less likely to practice at home and/or get access to the orchestra’s practice facilities). Moreover, it might be that people tend to weight certain bits of information more heavily than other when making mental state inferences (e.g., statements that speak to internal sensations - using noise cancelling headphones - versus more ambiguous behaviors - paying to have a piano professionally tuned). All of these possibilities make me wonder about what accuracy, as currently assessed, actually tells us, and whether the task should be scored differently. For example, accuracy could be determined based on general consensus by having a large sample state which responses are accurate given the information. Reviewer #3: The authors examine how adults use different piece of information to infer mental states. I find the idea of studying how people incorporate all sorts of information into their mental state reasoning fascinating because I agree with the authors that researchers often narrow their focus to one specific cause of a mental state so we know little about how people actually use multiple piece of (sometimes conflicting) information. Despite my excitement about this idea, my overall evaluation of the paper is less positive. In particular, I feel that the scope of the paper is less than promised by the Introduction. I also have some theoretical and methodological concerns. Theoretically, I think it will be important for the authors to consider the trait attribution literature. Some discussion of why we would expect people to use inconsistent versus consistent information to be the same versus different across mental states and traits is needed. This feels especially necessary because the participants are actually introduced to a person with “mental states” over several points in time which to me feels more trait-like (i.e., what is this person’s stable attitudes?) than mental-state like (i.e., what is this person feeling in the here-and-now?). As it stands, I am not clear what we have learned about how people process consistent and inconsistent information about a person over time. The authors appear especially interested in how uncertainty shapes people’s ability to engage in mental state reasoning. I think many of their claims about “uncertainty” are dependent on whether the participants actually felt uncertain. I would recommend that the researchers run similar studies where they actually measure whether participants felt more or less certain across conditions. The authors acknowledge this in their Discussion, but given that they are interested in uncertainty, I think data is needed to speak to this concern. Alternatively, I see that the authors have reaction time data, they could potentially use this to speak to uncertainty. I would recommend not using the term “accuracy” but rather just saying that the date were coded in line with the idea that Lewis likes Clara’s piano playing. To me, I find it confusing to say that the “high-uncertainty” condition is less accurate than the “low-uncertainty” condition, it more seems like they have different interpretations because they have different information. I certainly wouldn’t want to say that the participants in the “high-uncertainty” condition were worse mental-state reasoners than those in the “low-uncertainty” condition. The authors use many different words throughout to (I think) mean the same thing (consistency, type, quality), this makes the arguments and conditions of the paper a little difficult to follow. I was surprised to see that the authors randomized the order that the different information came in given that prior research suggests that the order people learn information matters (e.g., Cone, Flaharty, & Ferguson, 2021). Is it possible for the authors to explore differences in people’s mental state attributions by order of information? I am a little confused about a couple of aspects of the design. First, when the authors say that the order of conditions was counterbalanced, does this mean that they were blocked (so, for example, all of the intermediate, then all of the low-uncertainty, and then all of the high-uncertainty) or were all of the stories counterbalanced so that participants might get an intermediate story, and then a low-uncertainty, and then another intermediate story, and then a high-uncertainty, etc.? If the stories were blocked, please include an order effect analysis. This would be especially important if the authors want to use the reaction time data as evidence of uncertainty because it's possible that people's certainty went up or down based on what condition they saw first. I also wasn’t sure if the 6 different “consistent” statements from the “low-uncertainty” condition could be randomly slotted into each of the “consistent” statements for the intermediate and high-uncertainty conditions or whether which “consistent” statements were used in the intermediate and high-uncertainty conditions were fixed across participants. This seems important to know especially because it does not appear that the authors have pilot tested these statements to ensure that they all provide similar information. It would be helpful if the authors could provide all of the vignettes that were used. Was it the case that the “correct” mental state was always positive (e.g., Lewis like’s Clara’s piano playing) or was it sometimes the case that the person would have a negative mental state towards the person? Relatedly, were the characters’ mental states always social (i.e., what they thought of another person) or were they sometimes asocial (e.g., their belief about where an object is). These are important pieces of information to report in the manuscript. The authors argue that the findings from Experiment 1 and 2 are similar. I’m not sure I agree with this. Yes, they get the same pattern, but the effect seems much larger in Experiment 1. This should be addressed. ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No Reviewer #3: No ********** [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step. |
| Revision 1 |
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PONE-D-22-13954R1Reasoning About Mental States Under UncertaintyPLOS ONE Dear Dr. Kamkar, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. You have addressed to all of the reviewers' point. However, the response to Reviewer 2's first and "primary" concern is not sufficiently convincing. That point is absolutely crucial for the interpretation of the study results. A way to disentangle the issue about what the "correct" answer actually is, and how participants actually weigh the available pieces of information, is to quantify them. For now, you only have an ordinal classification (low, intermediate, high) based on your own judgement alone. You might collect some additional rating data from naive participants judging not only if, but also how much each single piece of information is consistent and indicative of specific states of minds. In this way, you can quantify, for each single trial, how much and how consistent the available information is. A related point concerns the data analysis. Once you have quantified the amount and consistency of information available for each trial and you can use this information as predictors, you should analyze the data using statistical methods more appropriate than Anovas with normality assumptions. Since the actual responses are binomial (correct/incorrect) and they are repeated by participants and by trial/scenario, using mixed-effects logistic regressions is recommended. (This is recommended even if you do not quantify amount and consistency of information and you keep the independent variable as it is now.) Please submit your revised manuscript by Oct 21 2022 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. Please include the following items when submitting your revised manuscript:
If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter. If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols. We look forward to receiving your revised manuscript. Kind regards, Enrico Toffalini, Ph.D Academic Editor PLOS ONE Additional Editor Comments: You have addressed to all of the reviewers' point. However, the response to Reviewer 2's first and "primary" concern is not sufficiently convincing. That point is absolutely crucial for the interpretation of the study results. A way to disentangle the issue about what the "correct" answer actually is, and how participants actually weigh the available pieces of information, is to quantify them. For now, you only have an ordinal classification (low, intermediate, high) based on your own judgement alone. You might collect some additional rating data from naive participants judging not only if, but also how much each single piece of information is consistent and indicative of specific states of minds. In this way, you can quantify, for each single trial, how much and how consistent the available information is. A related point concerns the data analysis. Once you have quantified the amount and consistency of information available for each trial and you can use this information as predictors, you should analyze the data using statistical methods more appropriate than Anovas with normality assumptions. Since the actual responses are binomial (correct/incorrect) and they are repeated by participants and by trial/scenario, using mixed-effects logistic regressions is recommended. (This is recommended even if you do not quantify amount and consistency of information and you keep the independent variable as it is now.) [Note: HTML markup is below. Please do not edit.] [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step. |
| Revision 2 |
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Reasoning About Mental States Under Uncertainty PONE-D-22-13954R2 Dear Dr. Kamkar, We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. Kind regards, Enrico Toffalini, Ph.D Academic Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #2: All comments have been addressed Reviewer #3: All comments have been addressed ********** 2. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #2: Yes Reviewer #3: Yes ********** 3. Has the statistical analysis been performed appropriately and rigorously? Reviewer #2: Yes Reviewer #3: Yes ********** 4. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #2: Yes Reviewer #3: Yes ********** 5. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #2: Yes Reviewer #3: Yes ********** 6. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #2: The authors have largely addressed the remaining concerns. Though additional data to evaluate the extent to which each bit of information is consistent, and how that information is weighed, would be very helpful towards evaluating the findings, I'm sensitive to the fact that additional data collection, due to limited resources, is not always possible as seems to be the case here. I also think the editor's suggestion to conduct mixed-effects logistic regressions that evaluates trial-by-trial responses is a good one. But in theory, the data are available from the authors if someone wanted to run that analysis. Reviewer #3: I thank the authors for addressing my concerns and for raising the important limitations that still exist from this work. ********** 7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #2: No Reviewer #3: No ********** |
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