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Supporting Astronaut Autonomous Operations in Future Deep Space Missions

  • M. Natalia Russi-VigoyaEmail author
  • Donna Dempsey
  • Brandin Munson
  • Alonso Vera
  • Bernard Adelstein
  • Shu-Chieh Wu
  • Kritina Holden
Conference paper
  • 22 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1212)

Abstract

Future deep space missions will present new physical and cognitive challenges that could increase risks to astronaut performance. In addition, crews may no longer be able to depend on timely support from NASA Mission Control Center (MCC) due to distance from the Earth. Astronauts will have to work autonomously using onboard resources, while still maintaining high performance. It is critical to understand the type of support MCC currently provides in order to replicate that type of support onboard. A Contextual Inquiry was performed to characterize the support that MCC currently offers to space crews. An expert Focus Group was convened to understand the types of tasks astronauts will do on a future Mars mission, as well as the challenges associated with those tasks. Results from these activities elucidate the types of intelligent tools and capabilities that will be needed for autonomous crews on future deep space missions.

Keywords

Human Factors Human-Systems Integration Contextual Inquiry Space Exploration Autonomous Missions 

Notes

Acknowledgements

This work was funded by the NASA Human Research Program (contract number NNJ15HK11B), and the study was performed at the NASA Johnson Space Center. The authors would like to thank E. Vincent Cross II and Brent Beutter for their technical contributions. The authors would also like to thank the NASA Flight Operations Directorate (FOD) for their assistance in conducting the Contextual Inquiry, and all of the participants of the Contextual Inquiry and Expert Focus Group.

References

  1. 1.
    Holden, K., Russi-Vigoya, M.N., Adelstein, B., Munson, B.: Human Capabilities Assessment for Autonomous Missions (HCAAM). Phase I: Human Performance Standards and Guidelines. In: Internal NASA Report prepared for the Human Factors and Behavioral Performance Element of the Human Research Program (2019)Google Scholar
  2. 2.
    Muhr, T.: ATLAS/ti—a prototype for the support of text interpretation. Qual. Sociol. 14(4), 349–371 (1991)CrossRefGoogle Scholar
  3. 3.
    Fink, A., Kosecoff, J., Chassin, M., Brook, R.H.: Consensus methods: characteristics and guidelines for use. Am. J. Public Health 74(9), 979–983 (1984). https://ajph.aphapublications.org/doi/pdf/10.2105/AJPH.74.9.979
  4. 4.
    Wu, S.C., Vera, A.H.: Supporting crew autonomy in deep space exploration: preliminary onboard capability requirements and proposed research questions. (Report No.: NASA/TM—2019–22034) (2019). https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20190032086.pdf
  5. 5.
    Whiteside, J., Bennett, J., Holtzblatt, H.: Usability engineering: our experience and evaluation. In: Helander, M. (ed.) Handbook of Human-Computer Interaction, pp. 791–817. Elsevier Science Publishing, New York (1988)CrossRefGoogle Scholar
  6. 6.
    Vera, A., Holden, K., Dempsey, D., Russi-Vigoya, M., Wu, S., Beutter, B.: Contextual inquiries and interviews to support crew autonomous operations in future deep space missions: preliminary requirements and proposed future research. In: Internal NASA Report prepared for the Human Factors and Behavioral Performance Element of the Human Research Program (2019)Google Scholar
  7. 7.
    Martin, L., O’Keefe, W., Schmidt, L., Barshi, I., Mauro, R.: Houston, we have a problem-solving model for training. J. Organ. Psychol. 12(1), 57–68 (2012)Google Scholar
  8. 8.
    Holden, K., Munson, B., Russi-Vigoya, M. N., Dempsey, D., Adelstein, B.: Human Capabilities Assessment for Autonomous Missions (HCAAM). Phase II: Development and Validation of an Autonomous Operations Task List. In: Internal NASA Report prepared for the Human Factors and Behavioral Performance Element of the Human Research Program (2020)Google Scholar

Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  • M. Natalia Russi-Vigoya
    • 1
    Email author
  • Donna Dempsey
    • 2
  • Brandin Munson
    • 3
  • Alonso Vera
    • 4
  • Bernard Adelstein
    • 4
  • Shu-Chieh Wu
    • 5
  • Kritina Holden
    • 6
  1. 1.KBRHoustonUSA
  2. 2.NASA- Johnson Space CenterHoustonUSA
  3. 3.University of HoustonHoustonUSA
  4. 4.NASA- Ames Research CenterMoffett FieldUSA
  5. 5.San Jose State UniversitySan JoseUSA
  6. 6.LeidosHoustonUSA

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