A Grounded Interaction Protocol for Explainable Artificial Intelligence
Abstract
Explainable Artificial Intelligence (XAI) systems need to include an explanation model to communicate the internal decisions, behaviours and actions to the interacting humans. Successful explanation involves both cognitive and social processes. In this paper we focus on the challenge of meaningful interaction between an explainer and an explainee and investigate the structural aspects of an interactive explanation to propose an interaction protocol. We follow a bottom-up approach to derive the model by analysing transcripts of different explanation dialogue types with 398 explanation dialogues. We use grounded theory to code and identify key components of an explanation dialogue. We formalize the model using the agent dialogue framework (ADF) as a new dialogue type and then evaluate it in a human-agent interaction study with 101 dialogues from 14 participants. Our results show that the proposed model can closely follow the explanation dialogues of human-agent conversations.
Cite
@article{arxiv.1903.02409,
title = {A Grounded Interaction Protocol for Explainable Artificial Intelligence},
author = {Prashan Madumal and Tim Miller and Liz Sonenberg and Frank Vetere},
journal= {arXiv preprint arXiv:1903.02409},
year = {2019}
}
Comments
To appear in 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019) as a full paper. arXiv admin note: substantial text overlap with arXiv:1806.08055