Analog Astronaut Self-Scheduling in NASA’s HERA Campaign 7

Future deep space missions require greater crew autonomy, including self-scheduling—a novel operational concept. Within NASA’s Human Exploration Research Analog (HERA), we researched the impact of “No-Go Zones” software countermeasures, as prior findings suggested such visualizations might be beneficial. During HERA Campaign 7, we assessed analog astronaut crews’ self-scheduling performance (time on task, activity movements, violations) and workload (NASA-TLX). Unexpectedly, the countermeasures were associated with significantly poorer performance: increased time on task, more activity movements, and more violations. No significant workload impact was observed. A learning effect was evident between sessions, and Mission Day influenced all outcomes. We conclude that operational factors likely have a greater influence on self-scheduling performance than the tested software aids.

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Publication Details

Journal
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Published
2025-09-01
DOI
https://doi.org/10.1177/10711813251370737
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.00

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article

Analog Astronaut Self-Scheduling in NASA’s HERA Campaign 7

John Karasinski, Jessica J. Márquez
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Human-Automation Interaction and Safety
article

Analog Astronaut Self-Scheduling in NASA’s HERA Campaign 7

John Karasinski, Jessica J. Márquez
article en

Abstract

Future deep space missions require greater crew autonomy, including self-scheduling—a novel operational concept. Within NASA’s Human Exploration Research Analog (HERA), we researched the impact of “No-Go Zones” software countermeasures, as prior findings suggested such visualizations might be beneficial. During HERA Campaign 7, we assessed analog astronaut crews’ self-scheduling performance (time on task, activity movements, violations) and workload (NASA-TLX). Unexpectedly, the countermeasures were associated with significantly poorer performance: increased time on task, more activity movements, and more violations. No significant workload impact was observed. A learning effect was evident between sessions, and Mission Day influenced all outcomes. We conclude that operational factors likely have a greater influence on self-scheduling performance than the tested software aids.

Proceedings of the Human Factors and Ergonomics Society Annual MeetingVol. 69(1)
Ames Research Center (US)
National Aeronautics and Space Administration
Openalex Percentile: Top 73%
Human-Automation Interaction and Safety
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