TANDEMS: Tactical Navy Decision Making Performance Under Stress

The TActical Navy DEcision Making System (TANDEMS) dataset records human performance on a simulated radar display task designed to mimic a ship's combat information center. Performance is automatically recorded along seven dimensions for subsequent analysis. The dataset was developed by Daniel J. Dwyer for research on tactical decision making under stress.

Use Cases

• Modeling human performance degradation under stress based on the seven recorded performance dimensions.
• Training AI agents for tactical support by simulating the radar contact detection and identification task.
• Benchmarking decision-making algorithms against human performance metrics in time-pressured scenarios.
• Analyzing the relationship between information access patterns (via menus) and task outcome accuracy.

Strengths

• Performance is automatically recorded along seven dimensions, reducing manual scoring error.
• The task is designed to mimic real-world information processing requirements in a naval combat center.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Daniel J. Dwyer

Collection Method

Automatically recorded from a designed simulation task (TANDEMS).

Time Range

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Freshness

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Geography

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