ABIS 2003 – 11. GI-Workshop "Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen"
Karlsruhe, 6.-8. Oktober 2003
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Auflistung ABIS 2003 – 11. GI-Workshop "Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen" nach Erscheinungsdatum
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- KonferenzbeitragPersonalization Services for Adaptive Educational Hypermedia(11. GI-Workshop "Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen", 2003) Dolog, Peter; Henze, NicolaThis paper proposes an architecture for providing personalization services for adaptive educational hypermedia. We formalize adaptation functionality in a re-usable way appropriate for the use in the semantic web. We show how to design personalization services that provide re-usable adaptation methods employing semantic web description formats.
- KonferenzbeitragLISTEN: Contextualized Presentation for Audio-Augmented Environments(11. GI-Workshop "Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen", 2003) Zimmermann, Andreas; Lorenz, AndreasThe paper deals with the awareness of and the adaptation to the context in audio-augmented environments. Taking into account the relationship between aural and visual perceptions, we focus on the issues and the potential of adapting intelligent audio interfaces to augment the visual real environment. The description of the LISTEN project, a system for the creation of immersive audio-augmented environments, is taken as showcase; in particular, our focus is on the modelling and personalization methods affecting the audio design and presentation. The outcomes of the preliminary tests are reported in order to describe the is- sues and complexity of intelligent user model- ling in audio-augmented environments.
- KonferenzbeitragAdapting Spoken and Visual Output for a Pedestrian Navigation System, based on given Situational Statements(11. GI-Workshop "Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen", 2003) Wasinger, Rainer; Oliver, Dominika; Heckmann, Dominik; Braun, Bettina; Brandherm, Boris; Stahl, ChristophAs mobile devices become more and more complex, there is an increasing desire for these devices to adapt to their users. This paper identifies parameters for different input sources (user, device and environment), and the parameters of media output (speech, graphics, sound and text), that may be modified to tailor user presentation in a pedestrian navigation system. We also provide an initial insight into some of the causal relationships between our input and output parameters, with a specific focus on the effects that speech can con- tribute to the presentation of media output.
- KonferenzbeitragA User Profiling Component with the aid of User Ontologies(11. GI-Workshop "Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen", 2003) Nébel, István Tibor; Smith, Barry; Paschke, RalfWhat follows is a contribution to the field of user modeling for adaptive teaching and learning programs especially in the medical field. The paper outlines existing approaches to the problem of extracting user information in a form that can be exploited by adaptive software. We focus initially on the so-called stereotyping method, which allocates users into classes adaptively, reflecting characteristics such as physical data, social background, and computer experience. The user classifications of the stereotyping method are however ad hoc and unprincipled, and they can be exploited by the adaptive system only after a large number of trials by various kinds of users. We argue that the remedy is to create a database of user ontologies from which ready- made taxonomies can be derived in such a way as to enable associated software to support a variety of different types of users.
- KonferenzbeitragA Smart Shopping Assistant utilising Adaptive Plan Recognition(11. GI-Workshop "Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen", 2003) Schneider, MichaelIn this paper we describe an adaptive shopping assistant system utilising plan recognition. Radio Frequency Identification (RFID) sensory is used to observe a shopper’s actions, from which the plan recogniser tries to infer the goals of the user. Using this information, an automated assistant provides help tailored to the shopper’s concrete needs. We discuss why it is crucial to make the plan recognition process itself user adaptive and present ideas how to realise this through modification of existing plan recognition approaches.
- KonferenzbeitragLearning for User Adaptive Systems: Likely Pitfalls and Daring Rescue(11. GI-Workshop "Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen", 2003) Müller, Martin E.Adaptive user interfaces adapt themselves to the user by reasoning about the user and refining their internal model of the user’s needs. In machine learning, artificial systems learn how to perform better through experience. By observing examples from a sample, the learning algorithm tries to in- duce a hypothesis which approximates the target function. It seems obvious, that ma- chine learning exactly offers what is desperately needed in intelligent adaptive behavior. But when trying to adapt by learning, one will sooner or later encounter one or more well–known problems, some of which have been discussed in [Webb et al., 2001]. We propose a framework for describing user modeling problems, identify several reasons for inherent noise and discuss few promising approaches which tackle these problems.
- KonferenzbeitragTowards a new Role of Agent Technology in User Modelling(11. GI-Workshop "Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen", 2003) Lorenz, AndreasThis paper discusses resent attempts to employ multi-agent technologies for user modelling purposes. Based on the analysis of recent implemented systems, this contribution provides a general agent definition representing a flexible implementation to employ highly specialized entities for user modelling tasks, and illustrates communication and cooperation approaches. In the overall solution, agent teams cooperate to fulfil the requirements of user modelling in a more appropriate way.
- KonferenzbeitragDie Pupillengröße als Index zur Online-Erfassung der kognitiven Belastung(11. GI-Workshop "Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen", 2003) Schultheis, HolgerIn vielen Situationen könnte die Mensch-Computer Interaktion effizienter und für den Menschen angenehmer gestaltet werden, wenn es dem System möglich wäre, die kognitive Belastung des Subjekts zu berücksichtigen. In der Literatur ist zwar eine Fülle von Methoden zur Erfassung der mentalen Beanspruchung aufgeführt, eine Analyse der Eigenschaften der verschiedenen Maße zeigt jedoch, daß die wenigsten zur Erfassung der Belastung in konkreten Anwendungssituationen geeignet sind. Eine potentielle Ausnahme bildet die Messung der Pupillengröße, deren Zusammenhang mit der kognitiven Last durch 40 Jahre Forschung gut belegt ist. Allerdings gilt es zu überprüfen, ob die Ergebnisse aus den streng kontrollierten Laborsituationen auch auf alltägliche Anwendungen generalisieren. Zu diesem Zweck wurde ein Experiment entworfen mit dessen Hilfe das Pupillenmaß als Indikator kognitiver Belastung in einer alltäglichen Situation der Wissensakquisition (Lesen) validierbar ist.
- KonferenzbeitragWie kann eine Gruppenpräsentation den Interessen einzelner Teilnehmer gerecht werden? - Entwurf einer Benutzerstudie(11. GI-Workshop "Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen", 2003) Großmann-Hutter, Barbara
- KonferenzbeitragAdaptive Coherence Information as an Approach to facilitate the Comprehension of Online Learning Courses(11. GI-Workshop "Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen", 2003) Lippitsch, Stefan; Weber, GerhardKnowledge acquisition with online learning courses is mostly a matter of reading texts on a display. Understanding the text might be more problematic than in a book because of the possible gaps which could be produced by jumps to remote pages. Building an inadequate mental model might be a more probable danger for readers with little or no background knowledge because they do not have sufficient substitutions for lacking actual coherent information. This situation could be prevented by an adaptive feature that supports the user with additional information. We plan to examine the effectiveness and efficiency of an additional adaptive coherence information.