The OPEN process specification
The OPEN process specification
Developing user interfaces
Objects, components, and frameworks with UML: the catalysis approach
Objects, components, and frameworks with UML: the catalysis approach
The unified software development process
The unified software development process
Designing the User Interface: Strategies for Effective Human-Computer Interaction
Designing the User Interface: Strategies for Effective Human-Computer Interaction
Empirical Evaluation of User Models and User-Adapted Systems
User Modeling and User-Adapted Interaction
User interfaces and help systems: from helplessness to intelligent assistance
Artificial Intelligence Review
Evaluating and Selecting Web Sources as External Information Resources of a Data Warehouse
WISE '02 Proceedings of the 3rd International Conference on Web Information Systems Engineering
A Designated Bid Reverse Auction for Agent-Based Electronic Commerce
IEA/AIE '02 Proceedings of the 15th international conference on Industrial and engineering applications of artificial intelligence and expert systems: developments in applied artificial intelligence
Acquiring User Preferences for Product Customization
UM '01 Proceedings of the 8th International Conference on User Modeling 2001
ADELFE: a methodology for adaptive multi-agent systems engineering
ESAW'02 Proceedings of the 3rd international conference on Engineering societies in the agents world III
Group decision making through mediated discussions
UM'03 Proceedings of the 9th international conference on User modeling
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Review: A state-of the-art survey of TOPSIS applications
Expert Systems with Applications: An International Journal
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Decision-making theories aiming at solving decision problems that involve multiple criteria have often been incorporated in knowledge-based systems for the improvement of these systems' reasoning process. However, multicriteria analysis has not been used adequately in intelligent user interfaces, even though user-computer interaction is, by nature, multicriteria-based. The actual process of incorporating multicriteria analysis into an intelligent user interface is neither clearly defined nor adequately described in the literature. It involves many experimental studies throughout the software life-cycle. Moreover, each multicriteria decision-making theory requires different kinds of experiments for the criteria to be determined and then for the proper respective weight of each criterion to be specified. In our research, we address the complex issue of developing intelligent user interfaces that are based on multicriteria decision-making theories. In particular, we present and discuss a software life-cycle framework that is appropriate for the development of such user interfaces. The life-cycle framework is called MBIUI. Given the fact, that very little has been reported in the literature about the required experimental studies, their participants and the appropriate life-cycle phase during which the experimental studies should take place, MBIUI provides useful insight for future developments of intelligent user interfaces that incorporate multicriteria theories. One significant advantage of MBIUI is that it provides a unifying life-cycle framework that may be used for the application of many different multicriteria decision-making theories. In the paper, we discuss the incorporation features of four distinct multicriteria theories: TOPSIS, SAW, MAUT, and DEA. Furthermore, we give detailed specifications of the experiments that should take place and reveal their similarities and differences with respect to the theories.