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Cited by 8Explainable Artificial Intelligence (XAI)AI-based Problem Solving and PlanningAdvanced Computational Techniques and Applications

Customized explanation in expert system for earthquake prediction

Zhang Bofeng, Liu Yue·2005·17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)
DOI 10.1109/ictai.2005.54
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Abstract

A main line of research for introducing explanation capabilities in knowledge-based system supposes that explanations are used to transmit knowledge from the machine to a user and to improve learning ability of the latter. A reasonable explanation should be adapted to different level of users because different users have different knowledge. To describe the difference and then generate a personalized explanation is the main problem. In this paper, a novel method called FUM-CE (fuzzy user model based customized explanation) is proposed, in which a fuzzy user model called FUM is defined, and then several new algorithms are proposed to initialize FUM, update FUM, and extract correlative knowledge for explanation based on the FUM. FUM-CE can provide different and suitable explanation for the different users with different domain knowledge, by which the understandability and acceptability of the expert system for earthquake prediction are improved

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  • The explanation interface's complexity varies between humans and affects willingness to interact with the explanation.

    “Previous research explained this result when they showed that the explanation interface's complexity varies between humans and affects willingness to interact with the explanation [12, 50, 59].”

    From Explainable recommendation: when design meets trust calibration (2021) · cites this paper as [12]

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Authors
Bofeng, Z., & Yue, L.
Affiliations
Shanghai University (CN)
Venue
17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)
Publisher
IEEE
Published
2005
Pages
5 pp.-371
ISSN
1082-3409 (ISSN-L)
DOI
10.1109/ictai.2005.54
OpenAlex
W2117479918
Cited by
8
References
0
Citations by year
2026: 1 · 2022: 1 · 2021: 1 · 2020: 2 · 2017: 2 · 2015: 1
FWCI
0.00
Type
conference paper
Language
en
Open access
closed
Locations
IEEE International Conference on Tools with Artificial Intelligence (ICTAI) (publishedVersion)
Funders
  • National Science Foundation
  • Fasa University of Medical Sciences
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
  • Physical Sciences › Computer Science › Artificial Intelligence › AI-based Problem Solving and Planning
  • Physical Sciences › Computer Science › Artificial Intelligence › Advanced Computational Techniques and Applications
Keywords
expert systems, earthquake prediction, user knowledge level

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