HAL (France)
open access
Explainable artificial intelligence in air traffic control: effects of expertise on workload, acceptance, and usage intentions
Explainability is crucial for establishing user trust in Artificial Intelligence (AI), particularly within safety-critical domains such as Air Traffic Management (ATM) and Air Traffic Control (ATC). This study empirically investigates the effects of Explainable AI (XAI), specifically HeatMap-based v
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