The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Peter Brusilovsky - One of the best experts on this subject based on the ideXlab platform.
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adaptive technologies for training and education adaptive hypermedia for education and training
2012Co-Authors: Peter BrusilovskyAbstract:Adaptive hypermedia (AH) is an alternative to the traditional, one-size-fits-all approach in the development of hypermedia systems. AH systems build a Model of the goals, preferences, and knowledge of each individual User; this Model is used throughout the interaction with the User to adapt to the needs of that particular User (Brusilovsky, 1996b). For example, a student in an adaptive educational hypermedia system will be given a presentation that is adapted specifically to his or her knowledge of the subject (De Bra & Calvi, 1998; Hothi, Hall, & Sly, 2000) as well as a suggested set of the most relevant links to proceed further (Brusilovsky, Eklund, & Schwarz, 1998; Kavcic, 2004). An adaptive electronic encyclopedia will personalize the content of an article to augment the User's existing knowledge and interests (Bontcheva & Wilks, 2005; Milosavljevic, 1997). A museum guide will adapt the presentation about every visited object to the User's individual path through the museum (Oberlander et al., 1998; Stock et al., 2007). Adaptive hypermedia belongs to the class of User-adaptive systems (Schneider-Hufschmidt, Kuhme, & Malinowski, 1993). A distinctive feature of an adaptive system is an explicit User Model that represents User knowledge, goals, and interests, as well as other features that enable the system to adapt to different Users with their own specific set of goals. An adaptive system collects data for the User Model from various sources that can include implicitly observing User interaction and explicitly requesting direct input from the User. The User Model is applied to provide an adaptation effect, that is, tailor interaction to different Users in the same context. In different kinds of adaptive systems, adaptation effects could vary greatly. In AH systems, it is limited to three major adaptation technologies: adaptive content selection, adaptive navigation support, and adaptive presentation. The first of these three technologies comes from the fields of adaptive information retrieval (IR) and intelligent tutoring systems (ITS). When the User searches for information, the system adaptively selects and prioritizes the most relevant items (Brajnik, Guida, & Tasso, 1987; Brusilovsky, 1992b).
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from User query to User Model and back adaptive relevance based visualization for information foraging
Web Intelligence, 2007Co-Authors: Jaewook Ahn, Peter BrusilovskyAbstract:Adaptive information filtering is a promising tool for both casual Web news readers and professional intelligence analysts. Adaptive filtering augments the traditional query- or profile-based rankings provided by search engines. An interesting research challenge in this context is to offer Users more control over the rankings by letting them mediate between the two extremes -- query- and profile-based rankings. To address this challenge, we developed an adaptive relevance-based visual exploration tool based on the VIBE (Visual Information Browsing Environment) visualization approach, which was previously developed at our School. This paper presents the rationale and functionality of this visual exploration tool and reports the results of its preliminary evaluation.
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User Models for adaptive hypermedia and adaptive educational systems
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2007Co-Authors: Peter Brusilovsky, Eva MillanAbstract:One distinctive feature of any adaptive system is the User Model that represents essential information about each User. This chapter complements other chapters of this book in reviewing User Models and User Modeling approaches applied in adaptive Web systems. The presentation is structured along three dimensions: what is being Modeled, how it is Modeled, and how the Models are maintained. After a broad overview of the nature of the information presented in these various User Models, the chapter focuses on two groups of approaches to User Model representation and maintenance: the overlay approach to User Model representation and the uncertainty-based approach to User Modeling.
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a study of User Model based link annotation in educational hypermedia
Journal of Universal Computer Science, 1998Co-Authors: Peter Brusilovsky, John EklundAbstract:Adaptive link annotation is a new direction within the field of User-Model based interfaces. It is a specific technique in Adaptive Navigation Support (ANS) whose aim is to help Users find an appropriate path in a learning and information space by adapting link presentation to the goals, knowledge, and other characteristics of an individual User. More specifically, ANS has been implemented on the WWW in the InterBook system as link annotation indicating several states such as visited, ready to be learned, or not ready to be learned. These states represent an expert's suggested path for an individual User through a learning space according to both a history-based (tracking where the User has been), and a pre- requisite based (indexing of content as a set of domain Model concepts) annotation. This particular process has been more fully described elsewhere (Brusilovsky, Eklund & Schwarz 1998). This paper details results from an investigation to determine the effectiveness of User- Model based link annotation, in a real-world teaching and learning context, on learning outcomes for a group of twenty-five second year education students in their study of databases and spreadsheets. Using sections of a textbook on ClarisWorks databases and spreadsheets, which had been authored into the InterBook program, students received sections of the text both with and without the adaptive link annotation. Through the use of audit trails, questionnaires and test results, we show that while this particular form of ANS implemented in InterBook initially had a negative effect on learning of the group, it appears to have been beneficial to the learning of those particular students who tended to accept the navigation advice, particularly initially when they were unfamiliar with a complex interface. We also show that ANS provided learners with the confidence to adopt less sequential paths through the learning space. Considering ANS tools comprised a minimal part of the interface in the experiment, we show that they functioned reliably well. Discussion and suggestions for further research are provided.
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Methods and techniques of adaptive hypermedia
User Modeling and User-Adapted Interaction, 1996Co-Authors: Peter BrusilovskyAbstract:Adaptive hypermedia is a new direction of research within the area of adaptive and User Model-based interfaces. Adaptive hypermedia (AH) systems build a Model of the individual User and apply it for adaptation to that User, for example, to adapt the content of a hypermedia page to the User's knowledge and goals, or to suggest the most relevant links to follow. AH systems are used now in several application areas where the hyperspace is reasonably large and where a hypermedia application is expected to be used by individuals with different goals, knowledge and backgrounds. This paper is a review of existing work on adaptive hypermedia. The paper is centered around a set of identified methods and techniques of AH. It introduces several dimensions of classification of AH systems, methods and techniques and describes the most important of them.
Massimo Zancanaro - One of the best experts on this subject based on the ideXlab platform.
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hyperaudio location awareness adaptivity
Human Factors in Computing Systems, 1999Co-Authors: Daniela Petrelli, Marcello Sarini, Oliviero Stock, Carlo Strapparava, Massimo ZancanaroAbstract:The HyperAudio system aims at better supporting a User while visiting a museum by combining location awareness and information adaptation. This mixing of information delivery and physical space proposes new challenges for an effective human-computer-environment interaction. The HyperAudio solution interprets the visitor's behavior (i.e. physical and interactive) to create on the fly object presentations on the basis of the User Model, the physical context and the history of interaction.
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technical note hypernavigation in the physical space adapting presentations to the User and to the situational context
The New Review of Hypermedia and Multimedia, 1998Co-Authors: Elena Not, Daniela Petrelli, Marcello Sarini, Oliviero Stock, Carlo Strapparava, Massimo ZancanaroAbstract:Abstract This paper describes a portable system lo support a new way of visiting cultural and tourist sites. The perspective is that the visitor moves in a physical space like a museum, while seeking information and guidance through the use of a hand-held electronic guide. Techniques are presented to adapt the content of the presentations to the particular visitor, place, and moment of visit (that is, taking into account the User Model, knowledge of the physical location and the physical space around it, and the history of previous interactions).
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hypernavigation in the physical space adapting presentations to the User and to the situational context
The New Review of Hypermedia and Multimedia, 1998Co-Authors: Daniela Petrelli, Marcello Sarini, Oliviero Stock, Carlo Strapparava, Massimo ZancanaroAbstract:This paper describes a portable system to support a new way of visiting cultural and tourist sites. The perspective is that the visitor moves in a physical space like a museum, while seeking information and guidance through the use of a hand-held electronic guide. Techniques are presented to adapt the content of the presentations to the particular visitor, place, and moment of visit (that is, taking into account the User Model, knowledge of the physical location and the physical space around it, and the history of previous interactions).
Jens Pfafferott - One of the best experts on this subject based on the ideXlab platform.
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towards a Model of User behaviour regarding the manual control of windows in office buildings
Building and Environment, 2008Co-Authors: Sebastian Herkel, Ulla Knapp, Jens PfafferottAbstract:This paper presents the results of a field study of manual control of windows which has been carried out in 21 individual offices within the Fraunhofer Institute's building in Freiburg, Germany, from July 2002 to July 2003. Window status, occupancy, indoor and outdoor climatic conditions were measured every minute. Previous research findings are validated and extended by the results of this field study. The analysis of User behaviour reveals a strong correlation between the percentage of open windows and the time of year, outdoor temperature and building occupancy patterns. Most window opening is connected with the arrival of a person. Based on the results, a preliminary User Model is proposed to simulate and predict window status in office buildings with varying outdoor temperature and occupancy.
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a preliminary Model of User behaviour regarding the manual control of windows in office buildings
2005Co-Authors: Sebastian Herkel, Ulla Knapp, Jens PfafferottAbstract:This paper presents the results of a field study of manual control of windows which has been carried out in 21 individual offices within the Fraunhofer Institute’s building in Freiburg, Germany, from July 2002 to July 2003. Window status, occupancy, room and outdoor climatic conditions were measured every minute. Previous research findings are validated and extended by the results of this field study. The analysis of User behaviour reveals a strong correlation between the percentage of open windows and the time of year, outdoor temperature and building occupancy patterns. Most window opening is connected with the arrival of a person. Based on the results, a preliminary User Model is proposed to simulate and predict window status in office buildings with varying outdoor temperature and occupancy.
A. Kavcic - One of the best experts on this subject based on the ideXlab platform.
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Fuzzy User Modeling for adaptation in educational hypermedia
IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews), 2004Co-Authors: A. KavcicAbstract:Education is a dominating application area for adaptive hypermedia. Web-based adaptive educational systems incorporate complex intelligent tutoring techniques, which enable the system to recognize an individual User and their needs, and consequently adapt the instructional sequence. The personalization is done through the User Model, which collects information about the User. Since the description of User knowledge and features also involves imprecision and vagueness, a User Model has to be designed that is able to deal with this uncertainty. This paper presents a way of describing the uncertainty of User knowledge, which is used for User knowledge Modeling in an adaptive educational system. The system builds on the concept domain Model. A fuzzy User Model is proposed to deal with vagueness in the User's knowledge description. The Model uses fuzzy sets for knowledge representation and linguistic rules for Model updating. The data from the fuzzy User Model form the basis for the system adaptation, which implements various navigation support techniques. The evaluation of the presented educational system has shown that the system and its adaptation techniques provide a valuable, easy-to-use tool, which positively affects User knowledge acquisition and, therefore, leads to better learning results.
Daniela Petrelli - One of the best experts on this subject based on the ideXlab platform.
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hyperaudio location awareness adaptivity
Human Factors in Computing Systems, 1999Co-Authors: Daniela Petrelli, Marcello Sarini, Oliviero Stock, Carlo Strapparava, Massimo ZancanaroAbstract:The HyperAudio system aims at better supporting a User while visiting a museum by combining location awareness and information adaptation. This mixing of information delivery and physical space proposes new challenges for an effective human-computer-environment interaction. The HyperAudio solution interprets the visitor's behavior (i.e. physical and interactive) to create on the fly object presentations on the basis of the User Model, the physical context and the history of interaction.
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technical note hypernavigation in the physical space adapting presentations to the User and to the situational context
The New Review of Hypermedia and Multimedia, 1998Co-Authors: Elena Not, Daniela Petrelli, Marcello Sarini, Oliviero Stock, Carlo Strapparava, Massimo ZancanaroAbstract:Abstract This paper describes a portable system lo support a new way of visiting cultural and tourist sites. The perspective is that the visitor moves in a physical space like a museum, while seeking information and guidance through the use of a hand-held electronic guide. Techniques are presented to adapt the content of the presentations to the particular visitor, place, and moment of visit (that is, taking into account the User Model, knowledge of the physical location and the physical space around it, and the history of previous interactions).
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hypernavigation in the physical space adapting presentations to the User and to the situational context
The New Review of Hypermedia and Multimedia, 1998Co-Authors: Daniela Petrelli, Marcello Sarini, Oliviero Stock, Carlo Strapparava, Massimo ZancanaroAbstract:This paper describes a portable system to support a new way of visiting cultural and tourist sites. The perspective is that the visitor moves in a physical space like a museum, while seeking information and guidance through the use of a hand-held electronic guide. Techniques are presented to adapt the content of the presentations to the particular visitor, place, and moment of visit (that is, taking into account the User Model, knowledge of the physical location and the physical space around it, and the history of previous interactions).
