Do You Get It? User-Evaluated Explainable BDI Agents

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Automated rationale generation: a technique for explainable AI and its effects on human perceptions (2019, background): “One non-neural based network evaluates the usefulness and naturalness of generated explanations [10].”
Explainable Agents and Robots: Results from a Systematic Literature Review (2019, background): “Citing goals [8], desires [51] and emotions [52] are examples of the explanation generation process of the literature.”
A Grounded Interaction Protocol for Explainable Artificial Intelligence (2019, background): “Most modern work on Explainable AI, such as in autonomous agents [5, 7, 15, 36] and interpretable machine learning [13], does not discuss the interaction and the social aspect of the explanations.”
How People Explain Action (and Autonomous Intelligent Systems Should Too) (2017, background): “Explainable AIS should therefore have the ability to clarify their actions by offering the reasons for those actions—the goals, beliefs, duties, and so forth, that motivate and justify the actions (Langley et al. 2017; Broekens et al. 2010).”
The role of emotion in self-explanations by cognitive agents (2017, background): “Another approach focusses on the generation of explanations from beliefs and desires [4, 15].”