While these works ask valuable questions, they embrace model-driven approaches for manipulating the attention weights and thereafter evaluate the post-hoc explainability of the generated machine attention.
they overlook the human factor in the evaluation process -which should be integral in assessing the plausibility of the generated explanations (Riedl, 2019).