Thank you to everyone who has signed up to be a reviewer! Below, we list some tips, tricks, and expectations for our reviewing team. You can see more detailed information on our LinkedIn page. Please reach out to the leadership team with any questions!
HFES hosted an online training for reviewers. You can watch a recording here.
When reviewing…
Do:
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Focus on the big picture and the contribution to science, rather than editorial details like grammar or formatting. Consider the following questions as you review:
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Is this work novel? Does it fill a gap?
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Are the objectives, methods, results, and conclusions clear?
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Do the methods allow the research question to be answered? Or are there potential confounds and other issues that may limit the conclusions that can be drawn?
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Are the conclusions directly supported by the data?
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Does your review offer constructive guidance that helps the authors improve their work?
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Consider novelty, relevance and interest to the HFES audience and technical group.
Don't:
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Feeding the manuscript into Generative AI/LLMs (e.g., ChatGPT, Claude, etc.) is prohibited due to violation of ethical principles or copyright law. https://www.hfes.org/Publications/How-to-Submit-Your-Work/HFES-Submission-Policies
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Penalize missing details that are impossible within word limits. Remember, we have only two pages for extended abstracts!
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Don't expect exhaustive lit reviews, citations, methodology, or results.
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Overinterpret limited methodological description.
If the study is adjacent to your expertise, you could tell the program chair that you can offer partial expertise for Methods, Statistical Analyses, Study Design, and/or Clarity and Practical Application. However, the topic is completely outside your expertise (which is rare but can happen even within PPTG, where you would need to guess at every aspect of the abstract, please decline promptly and let the program chair know.
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Anika Rimu
McKinney TX
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