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Training for Long-Duration Space Missions: A Literature Review into Skill Retention and GeneralizatilityIn long-duration space missions, skill retention and generalizability become ever more important as mission length increases, for it is through these capabilities that astronaut crews achieve autonomy. A framework is proposed for future research based on three types of training commonly found in operational scenarios: initial training, refresher training, and just-in-time training. One of the key points of interest identified from the body of literature is the need for a structured and quantifiable approach to characterize skill decay. Such an approach would allow gaining a deeper understanding of the mechanisms through which skill decay operates. Because simulators are used extensively in all types of training, the effects of simulator fidelity on skill retention and generalizability are paramount to understand. Some common fidelity types are defined and their effects on the human operator are discussed. From a review of the literature on all these topics, several research gaps were identified that led to three key opportunities for future research: (1) developing skill decay functions provides theoretical insights into skill decay and allows for several practical applications, such as planning refresher training, (2) the effects of simulator fidelity on skill decay functions should be investigated empirically, and (3) investigating the generalizability of skills learned in initial training to other tasks could provide space crews with greater autonomy. A cybernetic approach might give new insights.
Document ID
20190033066
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Pieters, Marc A.
(San Jose State Univ. Research Foundation San Jose, CA, United States)
Zaal, Peter M. T.
(San Jose State Univ. San Jose, CA, United States)
Date Acquired
November 18, 2019
Publication Date
September 16, 2019
Subject Category
Behavioral Sciences
Report/Patent Number
ARC-E-DAA-TN73432
Meeting Information
Meeting: IFAC HMS 2019 (IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems)
Location: Tallinn
Country: Estonia
Start Date: September 16, 2019
End Date: September 19, 2019
Sponsors: International Federation of Automatic Control
Funding Number(s)
CONTRACT_GRANT: NNX170AE07A
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
NASA Technical Management
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