user model Research Papers - Academia.edu (original) (raw)

In the last few years user modeling has become an important research area in Human Computer Interaction. A large amount of research has been conducted in this field where different approaches on user modeling are shown. In this paper, we... more

In the last few years user modeling has become an important research area in Human Computer Interaction. A large amount of research has been conducted in this field where different approaches on user modeling are shown. In this paper, we provide an overview of the field of user modeling and describes the different user model namely, GOMS family of models, cognitive architecture, grammar-based model, and application specific models. We have discussed a few examples of user models in each category. This paper also discusses the future challenges of this research area.

The traditional learning with live interactions between teacher and students has achieved many successes but nowadays it raises the demand of personalized learning when computer and internet are booming. Learning is mostly associated with... more

The traditional learning with live interactions between teacher and students has achieved many successes but nowadays it raises the demand of personalized learning when computer and internet are booming. Learning is mostly associated with activities involving computers and interactive networks simultaneously and users require that learning material/activities should be provided to them in suitable manner. This is origin of adaptive learning domain. For this reason, the adaptive learning system (ALS) must have ability to change its action to provide learning content and pedagogic environment/method for every student in accordance with her/his individual characteristics. Adaptive systems are researched and developed for a long time; there are many kinds of them. So it is very difficult for researchers to analyze them. In this study report, I collect scientific resources to bring out an overview of adaptive learning systems along with their features. Main reference is the master thesis “User Modeling and User Profiling in Adaptive E-learning Systems” of author Christoph Fröschl. I express my deep gratitude to the author Christoph Fröschl for providing her/his great research.

Adaptive learning systems require well-organized user model along with solid inference mechanism. Overlay modeling is the method in which the domain is decomposed into a set of elements and the user model is simply a set of masteries over... more

Adaptive learning systems require well-organized user model along with solid inference mechanism. Overlay modeling is the method in which the domain is decomposed into a set of elements and the user model is simply a set of masteries over those elements. The combination between overlay model and Bayesian network (BN) will make use of the flexibility and simplification of overlay modeling and the power inference of BN. Thus it is compulsory to pre-define parameters, namely, Conditional Probability Tables (CPT (s)) in BN but no one ensured absolutely the correctness of these CPT (s). This research focuses on how to enhance parameters’ quality in Bayesian overlay model, in other words, this is the evolution of CPT(s).

Every student has individual features such as knowledge, goals, experiences, interests, backgrounds, personal traits, learning styles, learning activities, and study results. User model or learner model is constructed from these features.... more

Every student has individual features such as knowledge, goals, experiences, interests, backgrounds, personal traits, learning styles, learning activities, and study results. User model or learner model is constructed from these features. The process to build up learner model is called user modeling process or learner modeling process. Adaptive learning system uses learner model to make adaptation. In other words, adaptive learning system takes advantages individual information available in learner model in order to tailor learning materials (lessons, exercises, tests, etc.) and teaching methods to each student. Anyway, learner model is very important to adaptive learning system and other adaptive applications. This study report focuses on learner model, which is extracted from the master thesis of “User Modeling and User Profiling in Adaptive E-learning Systems” of author Christoph Fröschl. I express my deep gratitude to the author Christoph Fröschl for providing her/his great research.

The core of adaptive system is the user model that is representation of information about an individual. User model is necessary for an adaptive system to provide the adaptation effect, i.e., to behave differently for different users. The... more

The core of adaptive system is the user model that is representation of information about an individual. User model is necessary for an adaptive system to provide the adaptation effect, i.e., to behave differently for different users. The system that collects user information to build up user model and reasons out new assumptions about user is called user modeling system (UMS). There are two main tendencies towards implementing UMS: domain-independent UMS and domain-dependent UMS. The latter is called generic UMS known widely but our approach focuses on the domain-dependent UMS applied into adaptive e-learning especially. The reason is that domain-independent UMS is too generic to “cover” all learners’ characteristics in e-learning, which may cause unpredictable bad consequences in adaptation process. Note that user is considered as learner in e-learning context. Many users’ characteristics can be modeled but each characteristic is in accordance with respective modeling method. It is impossible to model all learners’ characteristics because of such reason “there is no modeling method fit all characteristics”. To overcome these obstacles and difficulties, we propose the new model of learner “Triangular Learner Model (TLM)” composed by three main learners’ characteristics: knowledge, learning style and learning history. TLM with such three underlying characteristics will cover the whole of learner’s information required by learning adaptation process. The UMS which builds up and manipulates TLM is also described in detail and named Zebra. We also propose the new architecture of an adaptive application and the interaction between such application and Zebra.

In this paper, we introduce NoTube's vision on deploying semantics in interactive TV context in order to contextualize distributed applications and lift them to a new level of service that provides context-dependent and personalized... more

In this paper, we introduce NoTube's vision on deploying semantics in interactive TV context in order to contextualize distributed applications and lift them to a new level of service that provides context-dependent and personalized selection of TV content. Additionally, lifting content consumption from a single-user activity to a community-based experience in a connected multi-device environment is central to the project. Main research questions relate to (1) data integration and enrichment-how to achieve unified and simple access to ...

Abstract. User-adaptive systems for the Semantic Web need approaches for user modeling that work, unlike traditional approaches, under the open-world assumption. A novel framework for eliciting a user's conceptualization based on an... more

Abstract. User-adaptive systems for the Semantic Web need approaches for user modeling that work, unlike traditional approaches, under the open-world assumption. A novel framework for eliciting a user's conceptualization based on an ontology-driven dialog is presented here. It has been integrated in an RDF/OWL-based adaptive semantic-web software architecture for learning content management. We illustrate the implemented framework with an application scenario to deal with the cold start problem and to enable ...

Computers Environment and Urban Systems, 30, 712 - 725. (reprinted with permission of Elsevier in the book by Gartner G., Cartwright W. and Peterson M. P. (eds. 2007), Location Based Services and TeleCartography, Springer:Berlin)

The correct functioning of interactive computer systems depends on both the faultless operation of the device and correct human actions. In this paper, we focus on system malfunctions due to human actions. We present abstract principles... more

The correct functioning of interactive computer systems depends on both the faultless operation of the device and correct human actions. In this paper, we focus on system malfunctions due to human actions. We present abstract principles that generate cognitively plausible human behaviour. These principles are then formalised in a higher-order logic as a generic , and so retargetable, cognitive architecture, based on results from cognitive psychology. We instantiate the generic cognitive architecture to obtain specific user models. These are then used in a series of case studies on the formal verification of simple interactive systems. By doing this, we demonstrate that our verification methodology can detect a variety of realistic, potentially erroneous actions, which emerge from the combination of a poorly designed device and cognitively plausible human behaviour.

On a high level of abstraction a Web Information Sys- tem (WIS) can be described by a storyboard, which in an abstract way specifles who will be using the system, in which way and for which goals. While syntax and semantics of... more

On a high level of abstraction a Web Information Sys- tem (WIS) can be described by a storyboard, which in an abstract way specifles who will be using the system, in which way and for which goals. While syntax and semantics of storyboarding has been well explored, its pragmatics has not. This paper con- tributes context analysis as a step towards closing this gap. We classify various aspects of contexts related to actors, storyboard, system and time, which make up the context space, then analyse each of these aspects in detail. This is formally support by lifting relations. Finally, we analyse how contexts impact on life cases, user models and the storyboard. While syntax and semantics of storyboarding has been well explored, its pragmatics apart from the use of metaphors (Thalheim & Dusterhoft 2000) has not. Pragmatics is part of semiotics, which is concerned with the relationship between signs, semantic con- cepts and things of reality. This relationship may be pictured by the so-...

The goal of the project is to develop mechanisms that will enable the parameterized user modelling of people with disabilities, the optimization of the virtual user models using feedback by real users and the simulation of the virtual... more

The goal of the project is to develop mechanisms that will enable the parameterized user modelling of people with disabilities, the optimization of the virtual user models using feedback by real users and the simulation of the virtual user models in virtual environments. UsiXML language ...

This article presents earlier results of our research works in the area of modeling Business Intelligence Systems. The basic idea of this research area is presented first. We then show the necessity of including certain users'... more

This article presents earlier results of our research works in the area of modeling Business Intelligence Systems. The basic idea of this research area is presented first. We then show the necessity of including certain users' parameters in Information systems that are used in Business Intelligence systems in order to integrate a better response from such systems. We identified two main types of attributes that can be missing from a base and we showed why they needed to be included. A user model that is based on a cognitive user evolution is presented. This model when used together with a good definition of the information needs of the user (decision maker) will accelerate his decision making process.

Patient compliance is a significant problem and is strongly correlated with the patients' understanding of their condition and prescribed treatment. Since doctors typically do not have large amounts of time to educate patients, and... more

Patient compliance is a significant problem and is strongly correlated with the patients' understanding of their condition and prescribed treatment. Since doctors typically do not have large amounts of time to educate patients, and impersonal, voluminous patient handouts are largely ineffective, we propose the use of a sophisticated computer-based information system to generate tailored, interactive handouts to communicate with patients. Our system uses text planning and user modeling techniques to generate natural language descriptions of migraine, its symptoms, triggering factors and prescriptions. The system is capable of handling follow-up questions requesting further information, and generating responses in the context of previously supplied information--a capability unavailable in previous patient information systems. The system tailors its interaction to: (i) the class of migraine patients, (ii) the individual patient, and (iii) the previous dialogue. Preliminary evaluati...

Abstract. Conversational agents interact with users using natural language interface. Especially in Internet space, their role has been recently highlighted as a virtual representative of a web site. However, most of them use simple... more

Abstract. Conversational agents interact with users using natural language interface. Especially in Internet space, their role has been recently highlighted as a virtual representative of a web site. However, most of them use simple pattern matching techniques without considering user’s goal. In this paper, we propose a conversational agent that utilizes user model constructed on Bayesian network for the responses consistent with user’s goal. The agent is applied to the active guide of a website, which shows that the user modeling based on Bayesian network helps to respond to user’s queries appropriately with the their goals. 1

Increased computing power and the Web have made information widely accessible. In turn, this has encouraged the development of recommendation systems that help users find items of interest, such as books or restaurants. Such systems are... more

Increased computing power and the Web have made information widely accessible. In turn, this has encouraged the development of recommendation systems that help users find items of interest, such as books or restaurants. Such systems are more useful when they personalize themselves to each user's preferences, thus making the recommendation process more e#cient and e#ective. In this paper, we present a new type of recommendation system that carries out a personalized dialogue with the user. This system -- the Adaptive Place Advisor -- treats item selection as an interactive, conversational process, with the program inquiring about item attributes and the user responding. The system incorporates a user model that contains item, attribute, and value preferences, which it updates during each conversation and maintains across sessions. The Place Advisor uses both the conversational context and the user model to retrieve candidate items from a case base. The system then continues to a...