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[REVIEW]: Biosensor Framework: A C# Library for Affective Computing #3455
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Hello human, I'm @whedon, a robot that can help you with some common editorial tasks. @professoralkmin, @AustinTSchaffer it looks like you're currently assigned to review this paper 🎉. Due to the challenges of the COVID-19 pandemic, JOSS is currently operating in a "reduced service mode". You can read more about what that means in our blog post. ⭐ Important ⭐ If you haven't already, you should seriously consider unsubscribing from GitHub notifications for this (https://github.com/openjournals/joss-reviews) repository. As a reviewer, you're probably currently watching this repository which means for GitHub's default behaviour you will receive notifications (emails) for all reviews 😿 To fix this do the following two things:
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@AustinTSchaffer, regarding your question in the other thread. Here is the review issue, and hopefully the information above will help get you started. Feel very welcome to contact me if you have any more questions about the review process. |
👋 @professoralkmin, please update us on how your review is going (this is an automated reminder). |
👋 @AustinTSchaffer, please update us on how your review is going (this is an automated reminder). |
Looks good to me, and I have sure this work presents a genuine academic contribution. So as reviewer, I recommend acceptance. |
Thanks for completing your review, @professoralkmin! |
Hey all, sorry for not giving a review yet. I've set aside some time for
this tomorrow.
…On Fri, Jul 30, 2021, 2:11 PM Øystein Sørensen ***@***.***> wrote:
Thanks for completing your review, @professoralkmin
<https://github.com/professoralkmin>!
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Testing: I don't see any unit tests or integration tests. Installation: The project mentions NuGet and Unity for installation, though provides few details. The Readme should probably at least link to the project's page on NuGet, which provides additional help with how to get the package installed with a variety of tools. Also, the package itself is a .NET Standard 2.0 project, but the provided examples are .NET Framework 4.7, which makes it hard to tell if this project only works on Windows, or if it can be used on Mac or Linux. This work appears to satisfy all of the requirements of acceptance, except for automated tests. Unless automated testing is a strict requirement, and barring minor confusions with installation, I recommend acceptance. |
Thanks for your review @AustinTSchaffer! Regarding unit tests, the Review criteria say the following:
@wsarce, could you please elaborate on how the reviewers can test the software, and if necessary, add additional unit test? @wsarce, please also answer the issue @AustinTSchaffer raised about Installation. |
@osorensen, I've added a third example project that tests the affective computing tasks without the need for an attached body-worn sensor. It processes the WESAD dataset that is provided in the Dataset folder of the repo and reports the results in the Console output. @AustinTSchaffer, The NuGet package link as well as installation CLI command has been added to the readme. This project was written to be OS agnostic, .NET Standard 2.0 should run on Windows, Linux, and MacOS. The examples are .NET Framework 4.7 to utilize the Console and were written on Windows 10. Instructions for installing Unity package has been added to the readme as well. Let me know if there are any other concerns. Thank you for the feedback and your time! |
Thanks for the update @wsarce. @AustinTSchaffer, if you find the tests/examples described in the comment by @wsarce satisfactory, please tick off the last box on the reviewer checklist. |
LGTM! |
@whedon generate pdf |
@wsarce, the paper is well written, but I noted the following issues which need to be fixed before acceptance.
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@whedon check references |
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@whedon generate pdf |
@osorensen, I think I addressed all of the changes needed. Let me know if I missed anything. Thank you! |
@osorensen, alright, I got it working. The DOI from Zenodo is: 10.5281/zenodo.5161984. All of the metadata looks correct and a citation file was generated for the repo. Let me know if anything doesn't look right. Thank you! |
@whedon set 10.5281/zenodo.5161984 as archive |
OK. 10.5281/zenodo.5161984 is the archive. |
@whedon set 1.0.0 as version |
OK. 1.0.0 is the version. |
@wsarce, I noticed that the title of the zenodo archive is "Munroe-Meyer-Institute-VR-Laboratory/Biosensor-Framework: Biosensor-Framework" whereas the title of the paper is "Biosensor Framework: A C# Library for Affective Computing". Could you please edit the title of the archive so it matches the paper? |
@osorensen, the title of the archive has been updated. |
@whedon generate pdf |
@wsarce, I noticed one reference which does not appear correctly, cf. line 37 on page 1 of the article proof. |
@whedon check references |
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@whedon generate pdf |
@osorensen, that reference issue should be fixed. |
@whedon recommend-accept |
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👋 @openjournals/joss-eics, this paper is ready to be accepted and published. Check final proof 👉 openjournals/joss-papers#2496 If the paper PDF and Crossref deposit XML look good in openjournals/joss-papers#2496, then you can now move forward with accepting the submission by compiling again with the flag
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@whedon accept deposit=true |
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🐦🐦🐦 👉 Tweet for this paper 👈 🐦🐦🐦 |
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@professoralkmin, @AustinTSchaffer – many thanks for your reviews here and to @osorensen for editing this submission! JOSS relies upon the volunteer effort of people like you and we simply wouldn't be able to do this without you ✨ @wsarce – your paper is now accepted and published in JOSS ⚡🚀💥 |
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Submitting author: @wsarce (Walker Arce)
Repository: https://github.com/Munroe-Meyer-Institute-VR-Laboratory/Biosensor-Framework
Version: 1.0.0
Editor: @osorensen
Reviewer: @professoralkmin, @AustinTSchaffer
Archive: 10.5281/zenodo.5161984
Due to the challenges of the COVID-19 pandemic, JOSS is currently operating in a "reduced service mode". You can read more about what that means in our blog post.
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Review checklist for @professoralkmin
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Review checklist for @AustinTSchaffer
Conflict of interest
Code of Conduct
General checks
Functionality
Documentation
Software paper
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