From Intelligibility to Debuggability in Context-Aware Systems
Intelligibility is a design principle for context-aware systems which focuses on providing information about context acquisition and interpretation to its users. In this paper we present existing approaches to provide intelligibility and identify a common shortcoming. Explanations starting on the co...
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Published in | KI 2014: Advances in Artificial Intelligence pp. 219 - 224 |
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Main Authors | , , |
Format | Book Chapter |
Language | English |
Published |
Cham
Springer International Publishing
2014
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Series | Lecture Notes in Computer Science |
Subjects | |
Online Access | Get full text |
ISBN | 3319112058 9783319112053 |
ISSN | 0302-9743 1611-3349 |
DOI | 10.1007/978-3-319-11206-0_21 |
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Summary: | Intelligibility is a design principle for context-aware systems which focuses on providing information about context acquisition and interpretation to its users. In this paper we present existing approaches to provide intelligibility and identify a common shortcoming. Explanations starting on the context level are insufficient to help users in finding and understanding why their system is not working. Debuggability for context-aware systems is introduced as a means to assist users in debugging the cause of a failure. To achieve this we adapt an information exchange approach from explanatory debugging. Furthermore we discuss open problems of debuggability and provide a possible solution. |
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ISBN: | 3319112058 9783319112053 |
ISSN: | 0302-9743 1611-3349 |
DOI: | 10.1007/978-3-319-11206-0_21 |