I'm writing a paper review / prospective paper about the use of XR tools in the space training domain - research gaps and future applications/investigations.
There are not so many papers about the topic, expect several conference papers. So I'd like to mention XR projects ongoing from companies and I'd like to do it systematically. Do you know if there's a way to do it systematically? Like a systematic Google review?
With PRIMA, we can make a systematic literature review. So I would like to search on Google terms such as 'virtual reality space training' and nominate in the papers, the companies / projects that came out from the Google search, to provide practical examples. So I hope that I would not miss any XR company which it is currently working on the topic.
I recommend AnswerThis, an AI research tool to facilitate the writing. https://answerthis.io/signup.
Since "systematic Google review" will not be replicable, it is not recommended. I would create a list of conferences related to your topic of interest (you may use Google to identify them) and then perform a systematic screening of titles and abstracts that fit your eligibility criteria. It is necessary to report all sources of data (conference names and years) and how many records were identified, screened, and included.
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