Synthetic TLX Score Statistics for Lunar Mission Agent-Based Modeling

5.5 KB of synthetic TLX score statistics generated by an agent-based model simulating future lunar missions. The dataset, created by Raymond Vera and shared under CC-BY-4.0, was last updated on 2026-05-27. It supports analysis of astronaut productivity and psychological well-being in simulated long-term space missions.

Use Cases

• Analyzing trade-offs between productivity and psychological well-being based on Monte Carlo simulation results
• Evaluating operational resilience and team structures based on simulated social and environmental factor interactions
• Studying the impact of cognitive skills, emotional states, and personality traits on mission outcomes using the Agent_Astronaut framework

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• The underlying model is based on literature from proxy environments and theories of small group complex systems.
• Monte Carlo simulations consist of tens of thousands of iterations.

Limitations

• Dataset size is only 5.5 KB, indicating a very limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Raymond Vera via figshare

Collection Method

Generated by an agent-based model (ABM) simulating astronaut interactions for the Artemis program.

Freshness

Last updated 2026-05-27 17:24:21; freshness should be verified.

Geography

Simulated lunar environment (Lunar Gateway and Lunar South Pole Base).