{"id":9154,"date":"2023-03-10T18:18:48","date_gmt":"2023-03-10T18:18:48","guid":{"rendered":"https:\/\/www.goodacademic.com\/blog\/questions\/natural-language-processing-to-monitor-wellbeing-in-short-duration-missions-in-space-analogs\/"},"modified":"2023-03-10T18:18:48","modified_gmt":"2023-03-10T18:18:48","slug":"natural-language-processing-to-monitor-wellbeing-in-short-duration-missions-in-space-analogs","status":"publish","type":"questions","link":"https:\/\/www.goodacademic.com\/blog\/questions\/natural-language-processing-to-monitor-wellbeing-in-short-duration-missions-in-space-analogs\/","title":{"rendered":"Natural language processing to monitor wellbeing in short duration missions in space analogs"},"content":{"rendered":"

“Expand the draft attached (PSI for Acta Futura) with the following:\\r<\/p>\n

– What his Natural Language Processing<\/div>\n
– Natural Language Processing to monitor Psychological wellbeing<\/div>\n
– Subparagraph on the LIWC software<\/p>\n
– a more in-depth review of the NLP literature to monitor psychological status, with a focus on Isolated and Confined Environments, Space Analogs, and Space Missions\\r<\/div>\n
– A paragraph on the links between Psychological and Physiological Stress\\r<\/div>\n
– a subparagraph on the effects of stress on the cardiovascular system, with a focus on heart rate and blood pressure<\/div>\n
– a subparagraph about gender differences in stress effects (both psychological and physiological)<\/div>\n
– Rewrite the statistical analysis and results in paragraphs in a more analytical and formal way\\r<\/div>\n
FOR THE ANALYSIS PROCEED AS FOLLOWS:<\/div>\n
1) Discuss the trends resulted from the repeated measures anova ( the file is PSI no LIWC repeated ANOVA)<\/div>\n
2) discuss the results from the correlation  analysis of all PSI metrics separated by gender (use the PSI Men and the PSI Women files) we had a total of 45 participants, 22 F and 23 M (as you see in the Excel file)<\/div>\n
3) Discuss the correlation results of the LIWC software metrics relatives to the two major linguistic groups we had, separated by gender<\/div>\n
— English speakers (17 M and 12 F), use the files EN liwc M and EN liwc F<\/div>\n
— Polish speakers (7 M and 6 F), use the files PL liwc M and PL liwc F<\/div>\n
THEN PROCEED DISCUSSING HOW:<\/div>\n
– There are differences based on gender an language backgrounds, thus the need of an AI able to detect those  differences and define the peculiar trends of each crew member<\/div>\n
– a paragraph with an in-depth analysis of the potential application of NLP to develop an AI assistant to be used on board spacecraft for beyond-earth orbit missions\\r<\/div>\n
– Format everything for frontiers journals\\r<\/div>\n
\\r<\/div>\n
the PSI is a software created by the research group to collect:<\/div>\n
– A short text to be encrypted and analysed with NLP, it is able to determine: Type time (in seconds), Word count, number of different words, number of character per word<\/div>\n
– basic cardiovascular data: Heart rate (the average of 2 measures taken 60 sec between the two) , blood pressure (the average of 2 measures taken 60 sec between the two) as by best practices,<\/div>\n
– a short psychological questionnaire.<\/div>\n
See the attachments \\”PSI protocol\\” and \\”PSI software instructions\\”.<\/div>\n
Some acronyms you\u00e2\u20ac\u2122ll find in the analysis:\\r<\/div>\n
– TT \u00ef\u0192\u00a0 type time\\r<\/div>\n
– CW \u00ef\u0192\u00a0 number of characters per word\\r<\/div>\n
– WC \u00ef\u0192\u00a0 word count\\r<\/div>\n
– MBP \u00ef\u0192\u00a0 mean blood pressure\\r (determined using the formula (2 diastolic + systolic)\/3 <\/div>\n
– HR \u00ef\u0192\u00a0 Heart Rate\\r<\/div>\n
– Ans Q1 \u00ef\u0192\u00a0 How performant do you fell today? (from 0 to 10)\\r<\/div>\n
– Ans Q2 \u00ef\u0192\u00a0 How stressed do you fell today? (from 0 to 10)\\r<\/div>\n
– Ans Q2 \u00ef\u0192\u00a0 how comfortable do you fell today? (from 0 to 10)\\r<\/div>\n
<\/div>\n
Note<\/div>\n<\/div>\n

“<\/p>\n","protected":false},"excerpt":{"rendered":"

“Expand the draft attached (PSI for Acta Futura) with the following:\\r – What his Natural Language Processing – Natural Language Processing to monitor Psychological wellbeing – Subparagraph on the LIWC software – a more in-depth review of the NLP literature to monitor psychological status, with a focus on Isolated and Confined Environments, Space Analogs, and […]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":[],"disciplines":[196],"paper_types":[],"tagged":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/questions\/9154"}],"collection":[{"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/questions"}],"about":[{"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/types\/questions"}],"author":[{"embeddable":true,"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/comments?post=9154"}],"version-history":[{"count":0,"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/questions\/9154\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/media?parent=9154"}],"wp:term":[{"taxonomy":"disciplines","embeddable":true,"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/disciplines?post=9154"},{"taxonomy":"paper_types","embeddable":true,"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/paper_types?post=9154"},{"taxonomy":"tagged","embeddable":true,"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/tagged?post=9154"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}