Learning from feedback: Evaluation of dynamic decision-making in virtual reality under various repetitive training...

Area of Science:

• Cognitive Psychology
• Human-Computer Interaction
• Virtual Reality Training

Background:

• Dynamic decision-making training is crucial for complex situations.
• Experiential training in virtual reality (VR) offers a flexible and cost-effective alternative to physical settings.
• The effectiveness of specific repetitive training methods in VR for dynamic decision-making remains underexplored.

Purpose of the Study:

• To evaluate the impact of different repetitive training methods within immersive VR on dynamic decision-making.
• To assess cognitive performance and workload in a complex virtual search-and-shoot environment.
• To compare heterogeneous practice and desirable difficulty frameworks against a sham condition.

Main Methods:

• A lab-based experiment with 66 healthy participants randomly assigned to heterogeneous, difficult, or sham training conditions.
• Participants underwent 7 days of VR training with varying difficulty levels or an unrelated VR environment.
• Performance and cognitive workload were measured before and after the training period.

Main Results:

• Participants in both heterogeneous and difficult training conditions showed significant performance improvements from Day 1 to Day 8.
• These groups also demonstrated a reduction in cognitive workload compared to baseline.
• The sham condition did not yield comparable improvements.

Conclusions:

• Immersive VR combined with heterogeneous repetitive training is highly effective for enhancing dynamic decision-making.
• This training paradigm maximizes performance gains and minimizes cognitive workload transfer.
• Findings support the development of advanced VR training for military personnel in dynamic scenarios.