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REPRESENTATION OF HUMAN-COMPUTER INTERACTION BY MEANS OF BEHAVIOR RULES.

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Title: REPRESENTATION OF HUMAN-COMPUTER INTERACTION BY MEANS OF BEHAVIOR RULES.
Authors: Taboada, M., Marin, R., Mira, J., Macias, M.
Source: Applied Artificial Intelligence. Apr96, Vol. 10 Issue 2, p163-186. 24p.
Subjects: Computer interfaces, Artificial intelligence
Abstract: This article proposes the application of techniques from knowledge engineering to the development of graphic interfaces. The current paradigm of knowledge-based systems is rooted in features such as declarative representation of knowledge, design modularity, and independence between data, knowledge, and control. The main advantage of this approach with respect to conventional programming techniques is that the incremental development of interfaces, as well as their modification and maintenance, is made easier. We present a human-machine interaction technique that seeks a compromise between simplicity and expressive power. [ABSTRACT FROM AUTHOR]
Copyright of Applied Artificial Intelligence is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: REPRESENTATION OF HUMAN-COMPUTER INTERACTION BY MEANS OF BEHAVIOR RULES.
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  Data: <searchLink fieldCode="AR" term="%22Taboada%2C+M%2E%22">Taboada, M.</searchLink><br /><searchLink fieldCode="AR" term="%22Marin%2C+R%2E%22">Marin, R.</searchLink><br /><searchLink fieldCode="AR" term="%22Mira%2C+J%2E%22">Mira, J.</searchLink><br /><searchLink fieldCode="AR" term="%22Macias%2C+M%2E%22">Macias, M.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Applied+Artificial+Intelligence%22">Applied Artificial Intelligence</searchLink>. Apr96, Vol. 10 Issue 2, p163-186. 24p.
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  Data: This article proposes the application of techniques from knowledge engineering to the development of graphic interfaces. The current paradigm of knowledge-based systems is rooted in features such as declarative representation of knowledge, design modularity, and independence between data, knowledge, and control. The main advantage of this approach with respect to conventional programming techniques is that the incremental development of interfaces, as well as their modification and maintenance, is made easier. We present a human-machine interaction technique that seeks a compromise between simplicity and expressive power. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Applied Artificial Intelligence is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/088395196118641
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        Text: English
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              Text: Apr96
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              Y: 1996
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