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Wireless Monitoring of Changes in Crew Relations during Long-Duration Mission Simulation.

Johannes B, Sitev AS, Vinokhodova AG, Salnitski VP, Savchenko EG, Artyukhova AE, Bubeev YA, Morukov BV, Tafforin C, Basner M, Dinges DF, Rittweger J - PLoS ONE (2015)

Bottom Line: A correspondence of 95.7% with the survey video on day 475 confirmed external reliability.Correlation analyses of a sociometric questionnaire (r = .35-.55, p< .05) and an ethological group approach (r = .45-.66, p < 05) provided initial evidence of the method's validity as a measure of cohesion when taking behavioral and activity patterns into account (e.g. only including activity phases in the afternoon).This confirms our assumption that the registered amount of time spent together during free time is associated with the intensity of personal relationships.

View Article: PubMed Central - PubMed

Affiliation: Division of Space Physiology, Institute of Aerospace Medicine, German Aerospace Center (DLR), Cologne, Germany.

ABSTRACT
Group structure and cohesion along with their changes over time play an important role in the success of missions where crew members spend prolonged periods of time under conditions of isolation and confinement. Therefore, an objective system for unobtrusive monitoring of crew cohesion and possible individual stress reactions is of high interest. For this purpose, an experimental wireless group structure (WLGS) monitoring system integrated into a mobile psychophysiological system was developed. In the presented study the WLGS module was evaluated separately in six male subjects (27-38 years old) participating in a 520-day simulated mission to Mars. Two days per week, each crew member wore a small sensor that registered the presence and distance of the sensors either worn by the other subjects or strategically placed throughout the isolation facility. The registration between two sensors was on average 91.0% in accordance. A correspondence of 95.7% with the survey video on day 475 confirmed external reliability. An integrated score of the "crew relation time index" was calculated and analyzed over time. Correlation analyses of a sociometric questionnaire (r = .35-.55, p< .05) and an ethological group approach (r = .45-.66, p < 05) provided initial evidence of the method's validity as a measure of cohesion when taking behavioral and activity patterns into account (e.g. only including activity phases in the afternoon). This confirms our assumption that the registered amount of time spent together during free time is associated with the intensity of personal relationships.

No MeSH data available.


Related in: MedlinePlus

Crew relations forecasting based on WLGS data.The ARIMA model for forecasting of CRTI was based on data from mission day 15 to 470 (shown here beginning with day 461; for whole time series see S1 File). On day 470 the last deep minimum of CRTI occurs. The forecasting was verified with observed data of the predicted period mission day 470–515. For the predicted period predicted and observed values could be found in good accordance of for the next 3 to 4 days.
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pone.0134814.g008: Crew relations forecasting based on WLGS data.The ARIMA model for forecasting of CRTI was based on data from mission day 15 to 470 (shown here beginning with day 461; for whole time series see S1 File). On day 470 the last deep minimum of CRTI occurs. The forecasting was verified with observed data of the predicted period mission day 470–515. For the predicted period predicted and observed values could be found in good accordance of for the next 3 to 4 days.

Mentions: Fig 8 presents results of an ARIMA model forecasting the CRTI (additional details see S1 File). In the common figure of CRTI mission day 470 was found to be the deepest minimum for more than 100 days (see Fig 5 or S1 Fig C for whole study duration). One could assume a further decrease and a breakdown of crew cohesion; therefore this cut point was chosen. However, ARIMA could predict that the CRTI would increase again afterwards. For the next 3 to 4 days, a good estimation of the observed CRTI values could be given.


Wireless Monitoring of Changes in Crew Relations during Long-Duration Mission Simulation.

Johannes B, Sitev AS, Vinokhodova AG, Salnitski VP, Savchenko EG, Artyukhova AE, Bubeev YA, Morukov BV, Tafforin C, Basner M, Dinges DF, Rittweger J - PLoS ONE (2015)

Crew relations forecasting based on WLGS data.The ARIMA model for forecasting of CRTI was based on data from mission day 15 to 470 (shown here beginning with day 461; for whole time series see S1 File). On day 470 the last deep minimum of CRTI occurs. The forecasting was verified with observed data of the predicted period mission day 470–515. For the predicted period predicted and observed values could be found in good accordance of for the next 3 to 4 days.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4529101&req=5

pone.0134814.g008: Crew relations forecasting based on WLGS data.The ARIMA model for forecasting of CRTI was based on data from mission day 15 to 470 (shown here beginning with day 461; for whole time series see S1 File). On day 470 the last deep minimum of CRTI occurs. The forecasting was verified with observed data of the predicted period mission day 470–515. For the predicted period predicted and observed values could be found in good accordance of for the next 3 to 4 days.
Mentions: Fig 8 presents results of an ARIMA model forecasting the CRTI (additional details see S1 File). In the common figure of CRTI mission day 470 was found to be the deepest minimum for more than 100 days (see Fig 5 or S1 Fig C for whole study duration). One could assume a further decrease and a breakdown of crew cohesion; therefore this cut point was chosen. However, ARIMA could predict that the CRTI would increase again afterwards. For the next 3 to 4 days, a good estimation of the observed CRTI values could be given.

Bottom Line: A correspondence of 95.7% with the survey video on day 475 confirmed external reliability.Correlation analyses of a sociometric questionnaire (r = .35-.55, p< .05) and an ethological group approach (r = .45-.66, p < 05) provided initial evidence of the method's validity as a measure of cohesion when taking behavioral and activity patterns into account (e.g. only including activity phases in the afternoon).This confirms our assumption that the registered amount of time spent together during free time is associated with the intensity of personal relationships.

View Article: PubMed Central - PubMed

Affiliation: Division of Space Physiology, Institute of Aerospace Medicine, German Aerospace Center (DLR), Cologne, Germany.

ABSTRACT
Group structure and cohesion along with their changes over time play an important role in the success of missions where crew members spend prolonged periods of time under conditions of isolation and confinement. Therefore, an objective system for unobtrusive monitoring of crew cohesion and possible individual stress reactions is of high interest. For this purpose, an experimental wireless group structure (WLGS) monitoring system integrated into a mobile psychophysiological system was developed. In the presented study the WLGS module was evaluated separately in six male subjects (27-38 years old) participating in a 520-day simulated mission to Mars. Two days per week, each crew member wore a small sensor that registered the presence and distance of the sensors either worn by the other subjects or strategically placed throughout the isolation facility. The registration between two sensors was on average 91.0% in accordance. A correspondence of 95.7% with the survey video on day 475 confirmed external reliability. An integrated score of the "crew relation time index" was calculated and analyzed over time. Correlation analyses of a sociometric questionnaire (r = .35-.55, p< .05) and an ethological group approach (r = .45-.66, p < 05) provided initial evidence of the method's validity as a measure of cohesion when taking behavioral and activity patterns into account (e.g. only including activity phases in the afternoon). This confirms our assumption that the registered amount of time spent together during free time is associated with the intensity of personal relationships.

No MeSH data available.


Related in: MedlinePlus