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Training Techniques for Visual Search in Complex Task Environments.

Svyatoslav Guznov¹, Gerald Matthews², Joel S Warm³

¹Air Force Research Laboratory, Dayton, OH.

|June 14, 2017

Summary

This summary is machine-generated.

Visual search training for unmanned aerial vehicle (UAV) operators, focusing on target and cue appearance, enhances target detection. This training improves performance in simulated surveillance missions.

Keywords:

simulators stress training unmanned aerial vehicles visual search

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Area of Science:

Human-Computer Interaction
Cognitive Psychology
Aerospace Engineering

Background:

Unmanned aerial vehicle (UAV) operators face demanding visual search tasks.
Environmental factors can increase operator error and stress.
Effective visual search training methods are needed.

Purpose of the Study:

Evaluate visual search training techniques for UAV simulated tasks.
Determine the most effective training method for target detection.

Main Methods:

Four training conditions: target, cue, visual scanning, and control.
Tested training effectiveness during a 30-minute simulated UAV flight.
Included a secondary task to simulate realistic operational demands.

Main Results:

Target training significantly improved search performance (more hits, fewer false alarms).
Visual scanning and cue training showed moderate effectiveness.
Training did not mitigate operator stress.

Conclusions:

Training on target/cue appearance and active scanning is promising for UAV visual search.
These methods can prepare operators for intelligence, surveillance, and reconnaissance (ISR) missions.