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Found 2 papers, 1 papers with code
The Utility of Explainable AI in Ad Hoc Human-Machine Teaming
On the other hand, expert performance degrades with the addition of xAI-based support ($p<0. 05$), indicating that the cost of paying attention to the xAI outweighs the benefits obtained from being provided additional information to enhance SA.
Human-Machine Collaborative Optimization via Apprenticeship Scheduling
We empirically demonstrate that this approach accurately learns multifaceted heuristics on a synthetic data set incorporating job-shop scheduling and vehicle routing problems, as well as on two real-world data sets consisting of demonstrations of experts solving a weapon-to-target assignment problem and a hospital resource allocation problem.
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