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Emotions are an important issue in user modeling. This paper presents a proposal for an Affective Tutoring System (ATS) that can recognise emotions through automated facial expression and gesture analysis, and show emotions through an animated agent. The domain of the system will be addition for 8 to 9 year olds. An observational study of human tutors has been conducted as a basis for developing the...
The existing personalization services usually base on proprietary and partial user models. This work attempts at evolving inference-based mediation mechanism that will facilitate integrating user models coming from different sources, such as repositories of other service providers and user’s personal devices. This will allow obtaining more information about the users and providing more accurate personalization...
The following describes ongoing doctoral research on creating a mixed-initiative framework to help users customize complex interfaces. The framework relies on a rich user model to provide customization suggestions with the goal of improving user performance while maintaining a high level of user satisfaction.
The organized nature of human collaboration is often used as a metaphor for computational theories of collaboration. Knowledge of collaborators’ capabilities and reliability of decision making processes are important factors in collaborative activities. In this thesis, we investigate these factors in the context of an important collaborative activity – the assignment of team members to tasks.
The main goal of the work presented in this paper is to determine an optimal strategy for virtual characters performing judicious combinations of speech, gesture and motion in order to disambiguate references to objects in the physical environment. The work is located in the research area of mobile computing and deals with the combination of mobile and stationary devices.
Adaptive user interfaces (AUIs) have become the focus of various scientific disciplines and are studied extensively over the last decade. The studies exploring the field investigate a broad range of adaptation methods in different types of applications. Although some progress was made in the study of AUIs, many issues need additional exploring. The objective of this research is to extend previous...
The main objective of the thesis is to define and implement a framework for agent-based distributed user-modeling. This paper introduces the approach for applying agent technology and illustrates the research issues in distributing the knowledge about the user among active entities, and distributed user-model acquisition and application methods.
Recent research points to the notion that motivation is a crucial factor when creating Intelligent Learning Environments (ILEs). Yet the research in motivation in tutoring systems has not fully considered relationships between features of ILEs and components of learners’ motivational structure. This paper proposes to use a qualitative modelling approach to model motivational characteristics of learners...
As opposed to implicit user profiling, there are only few explicit approaches, which furthermore suffer from problems that prevent them from being truly viable in practice. In this paper we present an approach to explicit user profiling by means of an adaptive natural language dialog. The dialog adapts to interests the user has mentioned and captures new, not predefined user information, which is...
User Modelling in computer games is an area that holds much research potential which can lead to practical benefits for computer game players. Our research is looking into the problem of concretely defining what makes a player ‘good’ at both games in general, specific game genres and individual games. We shall then devise a way of measuring ability to produce numerical rankings. These rankings, after...
This research aims at reconciling web personalization with privacy constraints imposed by legal restrictions and by users’ privacy preferences. We propose a software product line architecture approach, where our privacyenabling user modeling architecture can dynamically select personalization methods that satisfy current privacy constraints to provide personalization services. A feasibility study...
My research interest lies in investigating user-adaptive interaction in a conversational setting for recommender systems, with particular focus on modularized user model components and the use of a dialogue partner (DP) in such systems.
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