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2015 | OriginalPaper | Chapter

Enhancing the Explanatory Power of Intelligent User Interfaces with Diagrams

Author : Robbie T. Nakatsu

Published in: HCI in Business

Publisher: Springer International Publishing

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Abstract

I describe techniques that can be used to enhance the explanatory power of intelligent user interfaces. I focus on advice-giving systems that provide recommendations to end-users on how to solve problems, or help end-users make the right decisions. By explanatory power I am referring to the ability of a system to “explain” its own actions. One approach to endowing a system with explanatory power is to develop some kind of diagram—a graphical model that shows how something works or makes something easier to understand. I explore, in particular, “dynamic” diagrams in which the end user can explore the diagrammatic structures in a variety of ways to aid in understanding and problem-solving.

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previous chapter A Dynamic Weighted Majority Algorithm for Dynamic Data Relationships Concept Drift Detection
next chapter A Comparison of Hybrid Neural Network Based Breast Cancer Diagnosis Systems
Literature
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Nakatsu, R.T., Benbasat, I.: Improving the explanatory power of knowledge-based systems: an investigation of content and interface-based enhancements. IEEE Trans. Syst. Man Cybern. Part A Syst. Hum. 33(3), 344–357 (2003)CrossRef
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Nakatsu, R.T.: Explanatory power of intelligent systems. Intelligent Decision-Making Support Systems, pp. 123–143. Springer, London (2006)CrossRef
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Larkin, J.H., Simon, H.A.: Why a diagram is (sometimes) worth ten thousand words. Cogn. Sci. 11(1), 65–100 (1987)CrossRef
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Nakatsu, R.T., Benbasat, I.: Designing intelligent systems to handle system failures: enhancing explanatory power with less restrictive user interfaces and deep explanations. Int. J. Hum. Comput. Interact. 21(1), 55–72 (2006)CrossRef
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Ballou, R.H.: Business Logistics Management. Prentice-Hall, Englewood Cliffs (1992)
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Nakatsu, R.T.: Using venn diagrams to perform logic reasoning: an algorithm for automating the syllogistic reasoning of categorical statements. Int. J. Intell. Syst. 29(1), 84–103 (2014)MathSciNetCrossRef
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Nakatsu, R.T.: Inexact reasoning with certainty factors and Bayesian networks. Diagrammatic Reasoning in AI, pp. 264–301. Wiley, London (2009)CrossRef
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Nakatsu, R.T.: Rule based reasoning with diagrams. Diagrammatic Reasoning in AI, pp. 188–227. Wiley, London (2009)CrossRef
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Nakatsu, R.T.: Mental models: diagrams in the mind’s eye. Diagrammatic Reasoning in AI, pp. 23–56. Wiley, London (2009)CrossRef
Metadata
Title
Enhancing the Explanatory Power of Intelligent User Interfaces with Diagrams
Author
Robbie T. Nakatsu
Copyright Year
2015
Book
HCI in Business

Print ISBN: 978-3-319-20894-7

Electronic ISBN: 978-3-319-20895-4

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-20895-4_58

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