Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
IEEE Pervasive Computing
Intelligibility and accountability: human considerations in context-aware systems
Human-Computer Interaction
Visual explanation of evidence in additive classifiers
IAAI'06 Proceedings of the 18th conference on Innovative applications of artificial intelligence - Volume 2
Investigating intelligibility for uncertain context-aware applications
Proceedings of the 13th international conference on Ubiquitous computing
Tyche Project: A Context Aware Self-Organization Middleware for Ubiquitous Environment
HPCC '11 Proceedings of the 2011 IEEE International Conference on High Performance Computing and Communications
Analysis of a context-aware recommender system model for smart urban environment
Proceedings of International Conference on Advances in Mobile Computing & Multimedia
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Ubiquitous applications and smart environment technologies are complex to deploy, manage and use. Intelligibility, in ubiquitous computing applications, explains to users what a system did (outputs) and why it did it (inputs or contextual information). Making software more intelligible can reduce the complexity of a system for users. This paper presents our work on an intelligibility strategy for fuzzy logic systems, applied to a context-aware software organization and service provision (SOSP) middleware for smart environments. This fuzzy logic intelligibility strategy has been evaluated and tested with two groups of real users (technical and less technical users), and two versions of our prototype (with and without intelligibility).