User modelling in interactive explanations

By Alison Cawsey. 1993

How researchers see this paper

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

1. Giulia Vilone
2. Longo Luca
3. Been Kim
4. Dónal Doyle
5. Padraig Cunningham
6. Tim Miller
7. Alexey Tsymbal
8. Q. Liao

Citations in the corpus

• Explanation in Artificial Intelligence: Insights from the Social Sciences (2017, background): “Cawsey argues that the user model must be integrated closely with explanation model to provide more natural dialogue.”
• A Review of Explanation and Explanation in Case-Based Reasoning (2003, background): “However Cawsey (1993) makes the point that explanations wrongly tailored for different users are probably worse than providing no explanation.”
• Interactive and interpretable machine learning models for human machine collaboration (2015, background): “The most relevant works to this thesis are those that design systems to interactively communicate the ML results [30, 26, 28, 29, 47, 98].”
• Explainable Artificial Intelligence: a Systematic Review (2020, background): “Different ways to structure a conversational explanation, or dialogue, to successfully transfer knowledge from an explainer to an explainee were listed in [114, 115, 116, 117, 81].”