Exploring Personality and Stress during Communication Delays in Simulated Spaceflight Missions

Main Article Content

Shayan Shirshekar
Brooke Wheeler
Tianhua Li

Abstract

To date, there are no studies exploring how an individual’s unique personality profile predicts their response to the stresses and challenges of communication delays on Long Duration Exploration Missions (LDEMs). When exploring astronaut selection for future LDEMs, the Big Five personalities have been identified as a relevant model of personality and one of the preferred models among NASA scientists. This study examined whether personality predicts stress levels when experiencing communication delays during simulated spaceflight missions. A predictive correlational design explored the relationship between personality and stress levels while experiencing a 2-minute one-way communication delay during a simulated Mars mission. Personality included the Big Five personality traits (extraversion, agreeableness, conscientiousness, neuroticism, and openness to experience) and locus of control (LOC). Stress levels were reflected by the difference in stress (DS) scores measured using a stress Visual Analog Scale (VAS). There were significant relationships between conscientiousness and extraversion, both of which were significant predictors of DS scores. LOC was also significantly associated with DS scores. Conscientiousness and extraversion predicted stress when experiencing communication delays. LOC was also identified as a predictor of stress levels. These findings benefit the characterization of crew selection and composition of future spaceflight teams. They also promote a multi-trait, multi-method approach to astronaut selection.

Article Details

Section
Peer-Reviewed Articles

References

Barrick, M. R., Mount, M. K., & Judge, T. A. (2001). Personality and performance at the beginning of the new millennium: What do we know and where do we go next? International Journal of Selection and Assessment, 9(1-2), 9-30. https://doi.org/10.1111/1468-2389.00160

Benet-Martinez, V., & John, O. P. (1998). Los Cinco Grandes across cultures and ethnic groups: Multitrait multi-method analyses of the Big Five in Spanish and English. Journal of Personality and Social Psychology, 75(3), 729-750. https://doi.org/10.1037/0022-3514.75.3.729

Costa, P. T., & McCrae, R. R. (1992) NEO PI-R professional manual. Psychological Assessment Resources Inc.

Dutheil, F., Boudet, G., Perrier, C., Lac, G., Ouchchane, L., Chamoux, A., Duclos, M., & Schmidt, J. (2012). JOBSTRESS study: Comparison of heart rate variability in emergency physicians working a 24-hour shift or a 14-hour night shift — A randomized trial. International Journal of Cardiology, 158(2), 322-325. https://doi.org/10.1016/j.ijcard.2012.04.141

Dutheil, F., Trousselard, M., Perrier, C., Lac, G., Chamoux, A., Duclos, M., Naughton, G., Mnatzaganian, G., & Schmidt, J. (2013). Urinary interleukin-8 is a biomarker of stress in emergency physicians, especially with advancing age--the JOBSTRESS* randomized trial. PloS one, 8(8), 1-7. https://doi.org/10.1371/journal.pone.0071658

Dunbar, B. (2021, January 29). Astronaut Requirements. NASA. https://www.nasa.gov/audience/forstudents/postsecondary/features/F_Astronaut_Requirements.html

Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41(4), 1149. https://doi.org/10.3758/BRM.41.4.1149

Fitzgibbons, A. A., Davis, D., & Schutte, P. C. (2004). Pilot personality profile using the NEO-PI-R. NASA/TM-204–213237.

Goodman, S. H., & Waters, L. K. (1987). Convergent validity of five locus of control scales. Educational and Psychological Measurement, 47(3), 743-747. https://doi.org/10.1177/001316448704700326

Hunter, D. R. (2002). Development of an aviation safety locus of control scale. Safety, 7, 160.

Hunter, D., & Stewart, J. (2012). Safety locus of control and accident involvement among army aviators. International Journal of Aviation Psychology, 22(2), 144-163. https://doi.org/10.1080/10508414.2012.663244

John, O. P., Naumann, L. P., & Soto, C. J. (2008). Paradigm shift to the integrative Big Five trait taxonomy: History, measurement, and conceptual issues. In O. P. John, R. W. Robins, & L. A. Pervin (Eds.), Handbook of personality: Theory and research (2nd ed.) (pp. 114-158). The Guilford Press.

John, O. P., Donahue, E. M., & Kentle, R. L. (1991). The Big Five Inventory--Versions 4a and 54. Berkeley, University of California, Berkeley, Institute of Personality and Social Research.

Kanas, N., & Manzey, D. (2008). Space psychology and psychiatry (2nd ed.). Springer.

Kersten, P., White, P. J., & Tennant, A. (2014). Is the pain visual analogue scale linear and responsive to change? An exploration using rasch analysis. PLoS ONE, 9(6), 1-10. https://doi.org/10.1371/journal.pone.0099485

Kintz, N. M., & Palinkas, L. A. (2016). Communication delays impact behavior and performance aboard the international space station. Aerospace Medicine and Human Performance, 87(11), 940-946. https://doi.org/10.3357/amhp.4626.2016

Landon, L. B., Rokholt, C., Slack, K. J., & Pecena, Y. (2017). Selecting astronauts for long-duration exploration missions: Considerations for team performance and functioning. REACH - Reviews in Human Space Exploration, 5, 33-56. https://doi.org/10.1016/j.reach.2017.03.002

Lesage, F., Berjot, S., & Deschamps, F. (2012). Clinical stress assessment using a visual analogue scale. Occupational Medicine, 62(8), 600-605. https://doi.org/10.1093/occmed/kqs140

MacLeod, C., Rutherford, E., Campbell, L., Ebsworthy, G., & Holker, L. (2002). Selective attention and emotional vulnerability: Assessing the causal basis of their association through the experimental manipulation of attentional bias. Journal of Abnormal Psychology, 111(1), 107-123.

https://doi.org/10.1037/0021-843X.111.1.107

McCormack, H. M., Horne D. J., Sheather, S. (1988). Clinical applications of visual analogue scales: a critical review. Psychological medicine, 18(4), 1007-1019. https://doi.org/10.1017/s0033291700009934

McCrae, R. R., & Costa, P. T. (2003). Personality in adulthood: A five-factor theory perspective (2nd ed.). Guilford Press. https://doi.org/10.4324/9780203428412

Musson, D. M., Sandal, G. M., & Helmreich, R. L. (2004). Personality characteristics and trait clusters in final stage astronaut selection. Aviation, Space, and Environmental Medicine, 75(4), 342-349.

Palinkas, L. A., Gunderson, E. K., Holland, A. W., Miller, C., & Johnson, J. C. (2000). Predictors of behavior and performance in extreme environments: the Antarctic space analogue program. Aviation, Space, and Environmental Medicine, 71(6), 619-625.

Palinkas, L.A., Kintz, N., Vessey, W.B., Chou, C.P., & Leveton, L.B. (2017) Assessing the impact of communication delay on behavioral health and performance: An examination of autonomous operations utilizing the international space station. National Aeronautics and Space Administration. NASA/TM-2017-219285

Philip, B. K. (1990). Parametric statistics for evaluation of the visual analog scale. Anesthesia and analgesia, 71(6), 710. https://doi.org/10.1213/00000539-199012000-00027

Poma, S. Z., Milleri, S., Squassante, L., Nucci, G., Bani, M., Merlo-Pich, E., & Perini, G. I. (2005). Characterization of a 7% carbon dioxide (CO2) inhalation paradigm to evoke anxiety symptoms in healthy subjects. Journal of Psychopharmacology, 19(5), 494-503. http://dx.doi.org/10.1177/0269881105056533

Price, D. D., Bush, F. M., Long S., & Harkins, S. W. (1994). A comparison of pain measurement characteristics of mechanical visual analogue and simple numerical rating scales. Pain, 56(2), 217-26.

https://doi.org/10.1016/0304-3959(94)90097-3

Rossi, V., & Pourtois, G. (2012). Transient state-dependent fluctuations in anxiety measured using STAI, POMS, PANAS or VAS: A comparative review. Anxiety, Stress & Coping, 25(6), 603-645. https://doi.org/10.1080/10615806.2011.582948

Rotter, J. B. (1966). Generalized expectancies for internal versus external control of reinforcement. Psychological Monographs, 80(1), 1-28. https://doi.org/10.1037/h0092976

Shirshekar, S. (2021). Exploring the effects of communication delays and personality on stress during simulated space missions (Doctoral dissertation). https://repository.lib.fit.edu/handle/11141/3368

Slack, K. J., Williams, T. J., Schneiderman, J. S., Whitmire, A. M., Picano, J. J., Leveton, L.B., Schmidt, L. L., & Shea, C. (2016). Risk of adverse cognitive or behavioral conditions and psychiatric disorders: evidence report. NASA/Lyndon B. Johnson Space Center. http://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20160004365.pdf

Solcova, I., & Vinokhodova, A. G. (2015). Locus of control, stress resistance, and personal growth of participants in the Mars-500 experiment. Human Physiology, 41(7), 761-766. https://doi.org/10.1134/S0362119715070221

Soto, C. J., John, O. P., Gosling, S. D., & Potter, J. (2008). The developmental psychometrics of big five self-reports: Acquiescence, factor structure, coherence, and differentiation from ages 10 to 20. Journal of Personality and Social Psychology, 94(4), 718-737. https://doi.org/10.1037/0022-3514.94.4.718

Stuster, J., Adolf, J., Byrne, V., Greene, M. (2019) Generalizable Skills and Knowledge for Exploration Missions. NASA Contractor Report-2018-220445

Suedfeld, P., & Steel, G. D. (2000). The environmental psychology of capsule habitats. Annual Review of Psychology, 51(1), 227-253.

https://doi.org/10.1146/annurev.psych.51.1.227

Whitmire, A., Leveton, L., Broughton, H., Basner, M., & Kearney, A. (2014). Minimum acceptable net habitable volume for long-duration exploration missions subject matter expert consensus session report. NASA/Langley Research Center. NASA TM-2015-218564.

Wilhelmsen, P. (2018). Reentry - An Orbital Simulator [Steam]. Wilhelmsen Studios.

You, X., Ji, M., & Han, H. (2013). The effects of risk perception and flight experience on airline pilots' locus of control with regard to safety operation behaviors. Accident; analysis and prevention, 57, 131-139. https://doi.org/10.1016/j.aap.2013.03.036