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NASA NTRS · Technical Memorandum (TM)

Deep Space Human-Systems Research Recommendations for Future Human-Automation/Robotic Integration

Published 2020-07-20 From Ames Research Center 4 authors

Attribution

This is the abstract and citation. Full text lives at NASA NTRS — we link out rather than host. All credit to the authors and Ames Research Center.

Abstract

Verbatim from NASA NTRS. Not paraphrased, not summarized.

Appropriate integration between automation and robotics systems and their human operators is essential for future space exploration. The Human Factors and Behavioral Performance Element of NASA’s Human Research Program requires a systematic understanding of the critical human-automation/robotic (HAR) integration, or HARI, design challenges for future space exploration. This document reports the results of a systematic assessment of the spaceflight-relevant HARI technologies and research topics addressing critical gaps in spaceflight-relevant HARI knowledge, and prioritizes research required for successful human performance and HAR integration. We reviewed relevant literature across the past ten years and interviewed ten subject matter experts to investigate the current state of HARI technology, challenges facing development, the state of HARI research across a wide range of fields, and opportunities for advancing the state of the art through directed research. This information was used to identify relevant HARI technologies and research topics, as well as factors to assess relative priority of HARI technologies. We worked with NASA stakeholders to weight the factors relevant to assessing HARI specific technologies. A multi-dimensional trade analysis was performed to objectively score HARI research topics and specific technologies to recommended investment priorities for NASA.

Authors

  • John Karasinski Ames Research Center
  • Sherrie Holder Draper Laboratory
  • Stephen Robinson University of California, Davis
  • Jessica Marquez Ames Research Center

Keywords

  • human-automation interaction
  • human factors

Citation: John Karasinski, Sherrie Holder , Stephen Robinson , et al. (2020). Deep Space Human-Systems Research Recommendations for Future Human-Automation/Robotic Integration. Ames Research Center. NASA NTRS ID 20205004361. https://ntrs.nasa.gov/citations/20205004361 ↗