ABIS 2002 – 10. GI-Workshop "Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen"
Hannover, 9.-11. Oktober 2002
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Auflistung ABIS 2002 – 10. GI-Workshop "Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen" nach Erscheinungsdatum
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- KonferenzbeitragLearning Users Interests for Providing Relevant Information(10. GI-Workshop "Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen", 2002) Chalamish, Michal; Kraus, SaritIn this paper we present a system that attempts to learn the surfing user's interests without asking him for any feedback. The system uses the the user profile to conducts an independent search of the Internet, trying to find pages that the user have not read yet and might find interesting. The system consists of 3 modules: (1) The data-collection module, which collects the data to be processed into the user's profile. The collected data is URLs the user reads and e-mail messages the user authorizes the system to process. (2) The user profiling module, which processes the collected data into a user profile, using the clustering method Dynamic Suffix Tree Clustering (DSTC). (3) The search module, which explores the Internet, searching for web sites the profiled user might be interested in.
- KonferenzbeitragImproving Structural Salience by Content Adaptation with Summaries(10. GI-Workshop "Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen", 2002) Lippitsch, Stefan; Weibelzahl, Stephan; Weber, GerhardUsers have a better chance to comprehend a text the better its coherence and structural salience is. Presentation adaptation will be used to attain more support for link structure comprehension. We plan to examine the effectivity and efficiency of the user’s domain knowledge acquisiton. Therefore, assessment of both, internal (percent correct answers at tests) and external data (external tests, user satisfaction and goal attainment) is considered.
- KonferenzbeitragProposal for a User Modeling Markup Language(10. GI-Workshop "Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen", 2002) Heckmann, DominikA unified markup language for User Modeling should be a key issue in the research community. Standardization is of great importance but single applications also call for very specific solutions. With UserML, we try to contribute some aspects and try to feed into future standardization efforts. One purpose of the UserML project is to develop a platform for the communication about partial user models in an ubiquitous computing environment, where all different kinds of systems work together work together to satisfy the user's needs. Jon Orwant claims in his Doppelgänger project that we need a protocol for encoding information about users, that any given user modeling system should be able to benefit from others and that user models should follow you around.
- KonferenzbeitragReasoning from Context(10. GI-Workshop "Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen", 2002) Zimmermann, Andreas; Lorenz, Andreas; Specht, MarcusThe paper describes a new approach of using the Case-Based Reasoning (CBR) methodology in context-aware systems. We elaborate how this technique can be applied to generate recommendations based on the contexts of users respectively objects especially in a mobile scenario. By combining CBR methodology and context awareness a new and powerful way of modelling and reasoning from contexts emerges. Using CBR cases to enclose the context will then enhance the possibilities to compare contexts, determine certain values of context-similarities, and reflect this information in the process of generating recommendations.
- KonferenzbeitragAn approach for Distributed User Models with the Focus on Transparency and Ownership of User Information(10. GI-Workshop "Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen", 2002) Jedlitschka, Andreas
- KonferenzbeitragKlassifizierung und Weiterentwicklung adaptiver Methoden(10. GI-Workshop "Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen", 2002) Nébel, István Tibor; Paschke, RalfDie Anforderungen an adaptive tutorielle Systeme können mittels unterschiedlicher Methoden realisiert werden. Der Beitrag versucht die am häufigsten implementierten Algorithmen adaptiver Methoden nach ihrer Art Informationen zu verarbeiten, zu klassifizieren. Jede Methode besitzt verschiedene Vor- und Nachteile hinsichtlich der Verarbeitungsgeschwindigkeit und der Inferenzfähigkeit. Ausgehend von den spezifischen Eigenschaften sollen in einer hybriden Modellierung die Vorteile der einzelnen Methoden in einer Benutzermodellierungskomponente – den Controltypes – zur Anwendung gebracht werden.
- KonferenzbeitragAdapting instructional hypermedia content to cognitive profiles(10. GI-Workshop "Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen", 2002) Piombo, Christophe; Batatia, Hadj; Ayache, AlainMost existing web based distant education environments take into consideration the notion of student profile. Despite the significant variability of the content of such profiles, some common features are commonly encountered, such as initial level of knowledge, progress indicators, and learning objectives. Few systems consider cognitive aspects when modelling student profile. The objective of our work is to investigate this latter issue. We are currently developing a student model based on cognitive parameters that include learning styles, social factors, perception preferences, motivation factors, among others. The methodology adopted is to validate this profile through experimental study and to develop an adaptive hypermedia education system that automatically learns student profile and adapts learning materials accordingly. This papers presents an overview of the objectives and the methodology of this work.
- KonferenzbeitragAn Ontology-Based Recommendation System for Elderly and Disabled Persons(10. GI-Workshop "Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen", 2002) Zinnikus, Ingo; Bogdanovich, Anton; Schäfer, RalphIn this paper, we describe the use of a hierarchical ontology representation as a basis for modelling user preferences in the SAID project for elderly and disabled persons. The nodes of the ontology tree are associated with either pre-selected or dynamically found web sites relevant for each topic of the user s interest (in this way web-surfing can be substituted by browsing through the ontology). In order to further reduce the complexity of the tree, we combine this approach with applying a probability based recommendation system which monitors the user s actions and adapts itself according to the observed behaviour. We also show that the resulting ontology tree is compatible with Bayesian networks and discuss limitations and possible extensions.
- KonferenzbeitragThe MAUT-Machine: An Adaptive Recommender System(10. GI-Workshop "Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen", 2002) Schmitt, Christian; Dengler, Dietmar; Bauer, MathiasIn this paper we introduce an adaptive recommender system that supports the user in finding interesting entries in an electronic product catalog. The Analytic Hierarchy Process (AHP) lays the foundation for the user preferences. The user interests are specified in terms of desired properties of the ideal product, expressed in the form of constraints (or criteria) on the products basic attributes. Logically related criteria can be combined to form a criteria tree and weights are used to specify the relative importance of these criteria (their contribution impact on the overall rating). An extension of the Multi-Attribute Utility Theory (MAUT) that allows complex and powerful combinations of criteria is used to compute the degree of interest (or utility) of the products regarding the user preferences. Once the user has defined her preferences she can quickly identify the most promising products in the treemaps display of the catalogue, colour-coding schemes indicating the different degrees of interest and the user having the possibility to sort the catalogue by several of its products basic attributes. The user profile and the catalogue are simultaneously visible and each modification of her preferences is immediately mirrored in the treemaps display that always presents the quality of the catalogue entries w.r.t. the current user preferences. The user can also select a given criteria node in her preferences and see the performance of the catalogue entries for that criteria. This way, rational decision making with multi-criteria objectives is significantly alleviated.
- KonferenzbeitragZum maschinellen Lernen für benutzeradaptive Systeme am Beispiel Bayes'scher Netze(10. GI-Workshop "Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen", 2002) Wittig, FrankDer vorliegende Beitrag beleuchtet die engen Zusammenhänge zwischen der Aufgabenstellung beim maschinellen Lernen und der Aufgabenstellung benutzeradaptiver Systeme. Es werden kritische Problemstellungen identifiziert und diskutiert, die typischerweise die direkte Anwendung maschineller Standardlerntechniken im Kontext benutzeradaptiver Systeme erschweren. Im zweiten Teil des Beitrags wird eine Konzeption vorgestellt, die einige dieser Probleme eines Einsatzes maschineller Lernverfahren Bayes’scher Netze in benutzeradaptiven Systemen durch Integration existierender und speziell für die Benutzermodellierung modifizierter bzw. neu entwickelter Verfahren löst.
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