User-Centered Design: Component-Based Web Technology

Kırış, Esin; Abrams, Howard; Longoria, Roman

doi:10.1007/978-3-540-73289-1_15

Cited by 2 publications

(2 citation statements)

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“…Altogether, these two technologies enhance the experience of the user in terms of human-computer interaction (Kiris et al, 2007) giving a user-centred GUI. Altogether, these two technologies enhance the experience of the user in terms of human-computer interaction (Kiris et al, 2007) giving a user-centred GUI.…”

Section: Extrasmentioning

confidence: 99%

“…The HA DB is a three-tier application that has a Web-accessible interface developed using Java Server Faces (JSF) and Ajax (Asynchronous JavaScript And XML) technologies. Altogether, these two technologies enhance the experience of the user in terms of human-computer interaction (Kiris et al, 2007) giving a user-centred GUI. The three-tier architecture provides increased performance, flexibility, maintainability, reusability, and scalability, while hiding any unnecessary complexities of distributed processing from the user.…”

Section: Extrasmentioning

confidence: 99%

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A Web-accessible distributed data warehouse for brain tumour diagnosis

Estanyol¹,

Rafael²,

Roset³

et al. 2011

The Knowledge Engineering Review

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Currently, biological databases (DBs) are a common tool to complement the research of a wide range of biomedical disciplines, but there are only a few specialized medical DBs for human brain tumour magnetic resonance spectroscopy (MRS) data; they typically store a limited range of biological data (i.e. clinical information, magnetic resonance imaging and MRS data) and are not offered as open-source Structured Query Language relational DB schemas. We present a novel approach to biological DBs: a distributed Web-accessible DB for storing and managing clinical and biomedical data related to brain tumours from different clinical centres. This tool is designed for multi-platform systems with dissimilar DB management systems. Being the main data repository of the HealthAgents (HA) project, it uses multi-agent technology and allows the centres to share data and obtain diagnosis classifications from other centres distributed around the world in a reliable way.The HA project aims to create an agent-based distributed decision support system (DSS) to assist doctors to provide a brain tumour diagnosis and prognosis. The HA DB enables the DSS to totally integrate with its Graphical User Interface to perform classifications with the stored data and visualize the results using the HA distributed agents framework. This new feature converts the system presented in the first application in the world to combine a storage and management tool for brain tumour data and a complete Web-based DSS to obtain automatic diagnosis. * Roman Roset is now a MicroArt associate researcher. y This work was fully developed while working at MicroArt.

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Section: Extrasmentioning

confidence: 99%

Section: Extrasmentioning

confidence: 99%