Pointing: A Way Toward Explanation Dialogue

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI (2019, background): “Greer et al. (1994), Moore and Swartout (1990), and Sarner and Carberry, (1992) described ways of providing tailoring or individualized explanations, and the selection of rhetorical strategies, based on user models or other inferences.”
Metrics for Explainable AI: Challenges and Prospects (2018, methodology): “Expert Systems researchers have previously implemented methods for explanation (Clancey, 1984, 1986; McKeown & Swartout, 1987; Moore & Swartout, 1990).”
Generating Explanations of Device Behavior Using Compositional Modeling and Causal Ordering (1993, background): “Much of the work in explanation has concentrated on the generation of high-quality presentations in natural lan guage based on dis course planning and user modeling [7, 17 ,18,19].”
Recommender Systems in Technology Enhanced Learning (2011, unknown): “and adaptive presentation in intelligent systems [70, 76].”