Human systems integration: process to help minimize human errors, a systems engineering perspective for human space exploration missions

Silva-Martinez, Jackelynne

doi:10.1016/j.reach.2016.11.003

Cited by 14 publications

(1 citation statement)

References 2 publications

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“…Due to these risks, there appears to be a strong need for analogue research into ground-based and aerial robots to explore Mars. There also appear to be additional opportunities for the development and validation of aspects of human systems integration architecture [60], real-time sensor data integration and analytics, and systematic learning from analogue missions (for example [61]).…”

Section: Discussionmentioning

confidence: 99%

Terrestrial Analogue Research to Support Human Performance on Mars: A Review and Bibliographic Analysis

Terhorst

Dowling

2022

Space Sci Technol

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Terrestrial analogues can provide essential scientific information and technology validation to assist future crewed missions to the Martian surface. This paper analyses the recent literature since 2010 in this area, highlighting key topics, authors, and research groups. It reviews analogue locations, missions, the scientific impact from research activities. The findings indicate that permanent analogue sites enable reproducible science and objective comparison between studies. A standard, open registry of analogue facilities, and associated peer-reviewed research may lead to accelerated and better targeted analogue research.

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Section: Discussionmentioning

confidence: 99%

Terrestrial Analogue Research to Support Human Performance on Mars: A Review and Bibliographic Analysis

Terhorst

Dowling

2022

Space Sci Technol

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Test and Evaluation

2020

Systems Engineering Principles and Practice

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Building credibility for human systems integration in model‐based systems engineering

Heffner,

Miller

2024

Systems Engineering

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Robust and trusted digital human representations are necessary to successfully account for human considerations in model‐based systems engineering (MBSE). Multiple domains and modeling frameworks leverage verification, validation, and accreditation (VV&A) processes to characterize when and under what conditions a model is valid to establish credibility. A literature review was completed on mathematical, physics‐based, software development, discrete event simulation, agent‐based, system dynamics, and MBSE models with the goal of proposing a process for performing VV&A on digital engineering (DE) and MBSE models for sociotechnical systems. However, this research also revealed the need for a broader framework to characterize the risk associated with using these models for making high‐consequence decisions. While accomplishing the literature review, another approach to building credibility was identified that is used heavily in the financial industry, namely model risk management (MRM). This process is extended by leveraging MRM approaches from within the financial community to propose a framework for sociotechnical model users to characterize the risk of using MBSE models to make programmatic decisions. The primary contribution of this work is to document a meta‐analysis of model VV&A while proposing an alternative approach to characterizing and communicating credibility that was discovered during this analysis. This approach could be a viable option for ensuring the credibility of human systems integration in MBSE models.

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Human systems integration: process to help minimize human errors, a systems engineering perspective for human space exploration missions

Cited by 14 publications

References 2 publications

Terrestrial Analogue Research to Support Human Performance on Mars: A Review and Bibliographic Analysis

Terrestrial Analogue Research to Support Human Performance on Mars: A Review and Bibliographic Analysis

Test and Evaluation

Building credibility for human systems integration in model‐based systems engineering

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