5 citations · 17 across the 13 of their papers we have counts for
4 papers · 1 filter
iSee: Advancing Multi-Shot Explainable AI Using Case-based Recommendations
Anjana Wijekoon, Nirmalie Wiratunga, David Corsar +7
Explainable AI (XAI) can greatly enhance user trust and satisfaction in AI-assisted decision-making processes. Recent findings suggest that a single explainer may not meet the dive…
XEQ Scale for Evaluating XAI Experience Quality
Anjana Wijekoon, Nirmalie Wiratunga, David Corsar +4
Explainable Artificial Intelligence (XAI) aims to improve the transparency of autonomous decision-making through explanations. Recent literature has emphasised users' need for holi…
Towards Feasible Counterfactual Explanations: A Taxonomy Guided Template-based NLG Method
Pedram Salimi, Nirmalie Wiratunga, David Corsar +1
Counterfactual Explanations (cf-XAI) describe the smallest changes in feature values necessary to change an outcome from one class to another. However, many cf-XAI methods neglect…
Behaviour Trees for Creating Conversational Explanation Experiences
Anjana Wijekoon, David Corsar, Nirmalie Wiratunga
This paper presented an XAI system specification and an interactive dialogue model to facilitate the creation of Explanation Experiences (EE). Such specifications combine the knowl…