user model Research Papers - Academia.edu (original) (raw)
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.
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.
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.
- by Loc Nguyen's Academic Network and +1
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- Zebra, Learner Model, Adaptive learning, Tlm
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.
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.
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).
AP-WEB 2.0, the International Workshop on Adaptation and Personalization for Web 2.0, held in Trento in connection to the first and seventeenth international conference on User Modeling, Adaptation and Personalization, UMAP 2009, aimed at... more
AP-WEB 2.0, the International Workshop on Adaptation and Personalization for Web 2.0, held in Trento in connection to the first and seventeenth international conference on User Modeling, Adaptation and Personalization, UMAP 2009, aimed at discussing the challenges and approaches in adaptation and personalization for Web 2.0. Here we present an overview of the workshop. Thirteen full papers and five short papers were accepted, covering both theoretical and practical aspects of Personalization for Web 2.0. The papers discuss a wide range of areas including user awareness, recommender systems, user-generated content, and social networks. Workshop Website: http://ailab.dimi.uniud.it/en/events/2009/ap-web20/
Abstract. This paper describes the design and evaluation of an adaptive museum guide for families. In the Kurio system, a mixture of embedded and tangible technology imbues the museum space with additional support for learning and... more
Abstract. This paper describes the design and evaluation of an adaptive museum guide for families. In the Kurio system, a mixture of embedded and tangible technology imbues the museum space with additional support for learning and interaction, accessible via tangible user interfaces. Families engage in an educational game where family members are assigned individual challenges and their progress is monitored and coordinated by the family member with a PDA. After each round of challenges, the family returns to a tabletop ...
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)
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 basic forms of random accessing problems encountered in designing computer communications networks are explored in terms of the Bernoulli finite user model. The problems are classified according to the available channel feedback... more
The basic forms of random accessing problems encountered in designing computer communications networks are explored in terms of the Bernoulli finite user model. The problems are classified according to the available channel feedback random variable values. Three feedbacks are possible: conflict/no conflict, something/nothing, and success/failure. Algorithms governing each condition are discussed, noting that the feedback can be interpreted in terms
Usability testing typically focuses on methodology and metrics, while the specific interactions being tested are chosen in an ad hoc way. This paper demonstrates a framework for organizing interaction scenarios for graphical user... more
Usability testing typically focuses on methodology and metrics, while the specific interactions being tested are chosen in an ad hoc way. This paper demonstrates a framework for organizing interaction scenarios for graphical user interfaces (GUI). The framework is an adaptation of the two-dimensional abstraction hierarchy introduced by Rasmussen [1] in which an interaction consists of a purpose, functionality, and form. Interactions for a GUI are organized into four main categories, with numerous subtasks. The four main categories determined are 1) object manipulation, 2) content manipulation, 3) view manipulation, and 4) information presentation. The general framework can guide evaluators in choosing key interaction scenarios for GUI applications across a diverse array of user capabilities. 1.0 INTRODUCTION Many tools exist to facilitate the evaluation of computer interfaces (e.g., cognitive walkthroughs, heuristic evaluations, user testing, etc.). Ideally these methods would inves...
ISSN 1436-4522 (online) and 1176-3647 (print). © International Forum of Educational Technology & Society (IFETS). The authors and the forum jointly retain the copyright of the articles. Permission to make digital or hard copies of part or... more
ISSN 1436-4522 (online) and 1176-3647 (print). © International Forum of Educational Technology & Society (IFETS). The authors and the forum jointly retain the copyright of the articles. Permission to make digital or hard copies of part or all of this work for personal or classroom use is ...
Learning style models constitute a valuable tool for improving individual learning by the use of adaptation techniques based on them. In this paper, we present how the benefit of considering learning styles with adaptation purposes, as... more
Learning style models constitute a valuable tool for improving individual learning by the use of adaptation techniques based on them. In this paper, we present how the benefit of considering learning styles with adaptation purposes, as part of the user model, can be extended to the context of collaborative learning as a key feature for group formation. We explore the effects that the combination of students with different learning styles in specific groups may have in the final results of the tasks accomplished by them collaboratively. ...
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 ...
Implicit user modeling has always long since played an important role in supporting personalized web-based e-learning environments and is increasingly important in other learning environments such as serious games. Its main concern is to... more
Implicit user modeling has always long since played an important role in supporting personalized web-based e-learning environments and is increasingly important in other learning environments such as serious games. Its main concern is to unobtrusively and ubiquitously learn from a learner's previous experiences and characteristics, in order to adapt the services to their personal needs. An empirical investigation for understanding learning behavior patterns forms the basis for establishing stronger implicit user modeling mechanisms and this study aims to get a better insight into types of learning behavior. The proposed usage of data mining and visualization elicited some interesting learning behavior patterns. We analyzed these from two perspectives: action frequency and action sequences, based on an expert-designed classification of behavior patterns that helped rank the various action categories according to significance from a user's perspective. The initial results of t...