Abstract
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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Moos, D., Bader, S., Kirste, T. (2014). From Intelligibility to Debuggability in Context-Aware Systems. In: Lutz, C., Thielscher, M. (eds) KI 2014: Advances in Artificial Intelligence. KI 2014. Lecture Notes in Computer Science(), vol 8736. Springer, Cham. https://doi.org/10.1007/978-3-319-11206-0_21
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DOI: https://doi.org/10.1007/978-3-319-11206-0_21
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11205-3
Online ISBN: 978-3-319-11206-0
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