Decision Support System Development for Human Extravehicular Activity

Metadata Updated: February 28, 2019

The extension of human presence into deep space will depend on how successfully human planetary extravehicular activities (EVAs) are conducted without real-time mission control support. Current human planetary EVA technology and experience has been derived from the Apollo era exploration of the moon. With the advancement of cognitive engineering modeling, decision support tools (DST) development for planetary EVA has the potential to dramatically improve human exploration capabilities on extraterrestrial bodies. The work outlined in this proposal seeks to develop a DST capable of providing real-time decision making support in the absence of mission control support for astronauts in an extraterrestrial EVA environment.

This research plans to implement a cognitive work analysis coupled with iterated field-test experiments in Earth analog-test sites to provide verification and validation capabilities to produce a DST for human planetary EVAs. The cognitive work analysis will provide the constraints needed to define the functional requirements of the DST. Once the requirements definition phase is complete, a prototype will then be built. Evaluation of the prototype will then be conducted in an Earth analog field-testing environment. Post processing of the testing will reveal design modifications which will then feedback to the redesign of the DST for further evaluation. This iterative process will enable performance enhancement of the DST function. The following outcomes are expected by this research project to further develop human- system performance in deep space to improve the decision making of astronauts in EVA and lessening their dependency of mission control. 1) Characterized list of mission control functional roles and constraints pertaining to support planetary EVAs. 2) Cognitive engineering based decision support tool for astronauts conducting deep space EVAs. 3) Working understanding of mission control operations in deep space EVAs in a non-real-time environment. As a result of this research, designers can infuse this DST into future habitat, vehicle, and suit concepts for human extraterrestrial exploration.

As stated in the NASA’s Draft of Modeling, Simulation, Information Technology and Processing for Technology Area 11 (TA-11), decision support tools are recognized as a game-changing technology for Human-System Performance Modeling. This proposed research has the opportunity to implement game changing technology in an area of NASA that has been unaltered for more than half a century.

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Public: This dataset is intended for public access and use. License: U.S. Government Work

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Metadata Created Date August 1, 2018
Metadata Updated Date February 28, 2019

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date August 1, 2018
Metadata Updated Date February 28, 2019
Publisher Space Technology Mission Directorate
Unique Identifier TECHPORT_91434
Maintainer Email
Public Access Level public
Bureau Code 026:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Harvest Object Id 2eb31007-0695-4feb-b081-a6baa9040a00
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2017-08-01
Homepage URL
Data Last Modified 2018-07-19
Program Code 026:027
Source Datajson Identifier True
Source Hash 14f1823313524e8b49922b3ce72bba08eb0e0dc7
Source Schema Version 1.1

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