Tailoring Explanations for the User
Proceedings of the Ninth International Joint Conference on Artificial Intelligence. Natural Language. Pages 794-797.
Abstract
In order for an . expert system to provide the most effect1ve explanat10ns, 1t sliould be al:ile to tailor 1ts responses to the concerns of the user. One way in wh1ch explanatJons may be ta!lored Js by point of v1ew . A method JS presented for representing the knowledg.e to support different points oT view in the current domain . In addition, we present a method for determmmg the pomt of v1ew to take by mferring the user's goal withm a brief discourse segment. The advising system 's response to the derived goal depends on the strength of its . belief in the inference for which a method of determmat10n Js also prov1ded This information enables the system to dec1de what answer to give to a q_uestion, which kind of justification is rele vant , and when to provide it . Some details of the current implementation are included.
@inproceedings{ijcai1985p157,
title = {Tailoring Explanations for the User},
author = {McKeown, Kathleen R. and Wish, Myron and Matthews, Kevin},
booktitle = {Proceedings of the Ninth International Joint Conference on
Artificial Intelligence, {IJCAI-85}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Aravind Joshi},
pages = {794--797},
year = {1985},
note = {Natural Language},
url = {https://ijcai.org/proceedings/1985/157},
}
TY - CPAPER TI - Tailoring Explanations for the User AU - McKeown, Kathleen R. AU - Wish, Myron AU - Matthews, Kevin T2 - Proceedings of the Ninth International Joint Conference on Artificial Intelligence, IJCAI-85 PB - International Joint Conferences on Artificial Intelligence PY - 1985 SP - 794 EP - 797 UR - https://ijcai.org/proceedings/1985/157 ER -Copied
Machine-readable versions of this paper, for tools and AI agents:
