Autonomous Spacecraft Motion Plan Characteristics Influence Perceived Path Appropriateness

Autonomous Rendezvous and Docking maneuvers, performed by two spacecraft joining together in space, are becoming increasingly automated. However, human supervision of the docking spacecraft remains necessary for system failure mitigation, which manifests in manual takeover of the docking spacecraft’s motion control. Previous analysis found that intrinsic characteristics of the motion plans taken by the spacecraft significantly influenced human supervisor manual-takeover performance. This work analyzes how the human supervisor’s observation of the spacecraft’s path traversal compared to the participant’s expectation of path traversal. In this study, participants ( N = 33) monitored a simulation of an autonomous spacecraft attempting to dock at one of two docking stations. Participants were asked about their interpretation of the appropriateness of the path taken by the spacecraft in each trial. Statistically significant relationships were identified between intrinsic characteristics of the motion plan, the human supervisor’s takeover performance, and the human’s interpretation of the path taken.

Authors

Institutions

Publication Details

Journal
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Published
2024-08-12
DOI
https://doi.org/10.1177/10711813241261346
Citations
1
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.64
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Autonomous Spacecraft Motion Plan Characteristics Influence Perceived Path Appropriateness

Hannah Larson, Leia A. Stirling
1 citations
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Human-Automation Interaction and Safety
0.64
article

Autonomous Spacecraft Motion Plan Characteristics Influence Perceived Path Appropriateness

Hannah Larson, Leia A. Stirling
article en
1 citations

Abstract

Autonomous Rendezvous and Docking maneuvers, performed by two spacecraft joining together in space, are becoming increasingly automated. However, human supervision of the docking spacecraft remains necessary for system failure mitigation, which manifests in manual takeover of the docking spacecraft’s motion control. Previous analysis found that intrinsic characteristics of the motion plans taken by the spacecraft significantly influenced human supervisor manual-takeover performance. This work analyzes how the human supervisor’s observation of the spacecraft’s path traversal compared to the participant’s expectation of path traversal. In this study, participants ( N = 33) monitored a simulation of an autonomous spacecraft attempting to dock at one of two docking stations. Participants were asked about their interpretation of the appropriateness of the path taken by the spacecraft in each trial. Statistically significant relationships were identified between intrinsic characteristics of the motion plan, the human supervisor’s takeover performance, and the human’s interpretation of the path taken.

Proceedings of the Human Factors and Ergonomics Society Annual MeetingVol. 68(1)
University of Michigan (US)
Openalex Percentile: Top 28%
Human-Automation Interaction and Safety
0.64
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.