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In human-computer interaction, explanation soundness and completeness refers to two properties of explanations from intelligent systems, truthfulness of each element and coverage of the whole system, that shape the quality of users' mental models. This meaning comes from Kulesza (2013) in 2013 IEEE Symposium on Visual Languages and Human Centric Computing.[1]
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