In this paper we propose to include two up-to-date separate concepts, namely social computing and usability metrics, in intelligent interaction agents to enhance a user-centered, adaptive human-computer interaction (HCI). Social computing refers to the application of sociological understanding to the design of interactive systems. We introduce accountability as an idea essential to social compu...

This paper presents an intelligent user interface agent architecture based on Bayesian networks. Using a Bayesian network knowledge representation not only dynamically captures and models user behavior, but it also dynamically captures and models uncertainty in the interface’s reasoning process. Bayesian networks’ sound semantics and mathematical basis enhances it’s ability to make correct, int...

In this article we propose a methodology for implementing the behaviour of intelligent interface agents using a BDI (Believes, Desires, Intentions) model. This work is based on the architecture presented in (Garijo et al. 98). We aim to show that BDI schemes applied to intelligent interface agents design produce robust and intuitively designed applications. This work has been applied to a fully...

This paper is about implementing and using intelligent reusable user interface components. Motivation for such components is provided. A standardized approach for constructing and using them using X11, OSF/Motif and C++ is introduced. A sample implementation of the paradigm is introduced. The sample implementation has recently been adopted as the standard method for creating and using reusable ...

Designing computer interfaces and other technologies that interact with users in adaptive ways that attempt to emulate their natural styles of learning is difficult. As technology has become main stream in our daily interactions, adaptive interfaces are key in helping users in many situations. In this article we discuss the preliminary investigation with the intelligent agent named Izbushka and...

Effectiveness of Decision Support Systems (DSS’s) is enhanced through dynamic adaptation of support to the needs of the decision maker, to the problem, and to the decision context. We define this enhanced DSS’s as Adaptive Decision Support Systems (ADSS’s) and propose its architecture. In an ADSS, the decision maker controls the decision process. However, the system monitors the process to matc...

In this paper we propose to include two up-to-date separate concepts, namely social computing and usability metrics, in intelligent interaction agents to enhance a user-centred, adaptive human-computer interaction (HCI) on the Web. Social computing refers to the application of sociological understanding to the design of interactive systems. Usability metrics are software quality metrics with a ...

The demand on information increases continuously. The use of computers has been changed from application and program development more and more to the communications and data retrieval. Multimedia interface of computers allows on-line collaboration not only in an office but even in extreme situations like driving, sports, entertainment activities etc. One of the principal modality in multimedia ...

To provide guidance for adaptive learning systems designers, this paper reviews evolution of learning theories and their associated progress, which is eenabled by computers, artificial intelligence, and augmented cognition. A generic conceptual framework, of intelligent adaptive learning systems is discussed in detail for individualized learning. The utility of such design methodologies is illu...