Aside from the great progress in the field of humancomputer interaction, particularly in the last years the need for the development of adaptive user interfaces in several application areas has been recognized. Our research is concentrated on intelligent tutoring systems, a generation of computerized educational systems that attempt to mimic the capabilities of human tutor. In this paper we ela...

This paper presents a system that focuses on improving event reporting in crisis situation management. The idea is to provide reporters with software with an intelligent adaptive interface based on dynamic scripting to ensure report consistency and minimize composing time. The dynamic scripting approach is modeled after human reasoning with specific knowledge. Our approach differs from other ap...

In this article, we switch our focus from the student’s to the teacher’s problems in relation to authoring an Intelligent Tutoring System (ITS). In line with this shift, we will try to answer the question: how can a teacher be guided to teach decision-making using an ITS? Accordingly, in the examination which follows the teacher will be viewed as a trainee who needs to be instructed not only in...

User profiles or user models are vital in many areas in which it is essential to obtain knowledge about users of software applications. Examples of these areas are intelligent agents, adaptive systems, intelligent tutoring systems, recommender systems, intelligent e-commerce applications, and knowledge management systems. In this chapter we study the main issues regarding user profiles from the...

OBJECTIVE To determine amniotic fluid prostaglandin E2 concentrations in women preterm prelabor rupture of the membranes (PPROM) with respect to microbial invasion of the amniotic cavity (MIAC), intraamniotic inflammation (IAI), microbial-associated IAI, histological chorioamnionitis, and short-term neonatal morbidity. METHODS One hundred forty-five women with singleton pregnancies were inclu...

We present a content-based image retrieval system INDI that combines the use of low-level pattern recognition techniques, machine learning and an intuitive human-computer interface in order to support intelligent and user-friendly semantic navigation in large image databases. To keep independence from specific image domains and to encompass different search tasks, the system is highly modular a...

To allow Internet users to find, collect and manipulate information available on the Web, different solutions have been developed (IEEE 1997) by researchers and software companies which aim at simplifying the interface as much as possible (search engines) or even acting on the users’ behalf (software agents). Nevertheless, there is a range of applications where the overload involved in training...

Human-centered computation is characterized by at least three features: it must be adaptive, reactive, and it must empower the user to configure and extend the behavior of the systems using her natural modes of interaction. In our previous work we have proposed systems that address the first two features. In this paper we present Alfred – a natural end user programming interface for Intelligent...

This paper describes the extension of the Alparon dialog manager to a broader domain and multiple modalities. To apply the dialog manager in the multimodal environment of the Personal Intelligent Travel Assistant (PITA), a multimodal coding scheme has been designed using dialog acts and XML. Additionally, the rigid database interface of the Alparon system has been replaced by a flexible and ada...

Online communication is one of the key value propositions of mobile devices. While a variety of instant messaging clients offer users the ability to communicate with other users in real-time, the user experience remains dominated by a basic exchange of textual content. When compared to face-to-face communication, this experience is significantly poorer. In our proposed solution, we seek to enha...