Abstract
Adaptive user interfaces (AUI) are designed to support users in performing their tasks by adapting to their individual characteristics. AUIs can facilitate user performance, make the interaction more efficient, improve ease of use and assist the user in overcoming information overflow and help them use complex systems. Utilizing these advancements, we present an approach for the design of complex adaptive interface. This latter uses Intelligent Agents based on a Belief, Desire, and Intention (BDI) architecture to achieve problem resolution in a typical boiler combustion management system (GLZ). The proposed architecture separates generic knowledge base about adaptive user interface from application specific knowledge in order to provide an IDSS. Integrating BDI agents into an IDSS can improve the ability of human operators and decision makers to perform their duties in a better way and provide useful enhancements to existing systems. The study reports the basic design principles of the user interface as well as details of the application.
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Taghezout, N., Adla, A., Zaraté, P. (2009). A Hybrid Approach for Designing an Adaptive User Interface: IDSS and BDI Agents. In: Kim, Th., Fang, WC., Lee, C., Arnett, K.P. (eds) Advances in Software Engineering. ASEA 2008. Communications in Computer and Information Science, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10242-4_14
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DOI: https://doi.org/10.1007/978-3-642-10242-4_14
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