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ABIS 2006 – 14. GI-Workshop "Adapitivität und Benutzermodellierung in interaktiven Softwaresystemen"

https://dl.gi.de/handle/20.500.12116/5011
Hildesheim, 9.-11. Oktober 2006
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Auflistung ABIS 2006 – 14. GI-Workshop "Adapitivität und Benutzermodellierung in interaktiven Softwaresystemen" nach Titel

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  • Konferenzbeitrag
    A collaborative and user-adaptive architecture enabling seamless cross-domain e-commerce transactions
    (14. GI-Workshop "Adapitivität und Benutzermodellierung in interaktiven Softwaresystemen", 2006) Janner, Till; Schroth, Christoph
    During the last years, e-Business has become widely accepted in all different industry segments. By adopting systems that allow for business transactions to be conducted electronically rather than paper-based, users can significantly reduce the effort for dataprocessing, increase business data accuracy and may even discover new business models or partners. However, the penetration of such systems is still remarkably low especially among small and medium size enterprises (SMEs) and very small enterprises (VSEs). Often, they do neither have the capacity to build tailored solutions allowing for conducting business with their partners over the web nor the necessary capabilities. Also, existing standards and solutions mostly do not adequately support flexible, cross-domain collaboration. Mostly, they do not account for changing user needs and only provide industry-specific protocols and data formats. In the frame of the EU-funded GENESIS project, we develop a novel e-Business framework that enables SMEs and VSEs (in the following referred to as users) to perform business transactions over the web, by interconnecting their individual, existing software applications with those of the collaborating parties. Thereby, we focus on seamless, cross-domain interoperability and adaptivity to changing user needs in order to facilitate the adoption of eBusiness solutions.
  • Konferenzbeitrag
    Can Log Files Analysis Estimate Learner’s Level of Motivation?
    (14. GI-Workshop "Adapitivität und Benutzermodellierung in interaktiven Softwaresystemen", 2006) Cocea, Mihaela
    The learners’ motivation has an impact on the quality of learning, especially in e-Learning environments. Most of these environments store data about the learner’s actions in log files. Logging the users’ interactions in educational systems gives the possibility to track their actions at a refined level of detail. Data mining and machine learning techniques can “give meaning” to these data and provide valuable information for learning improvement. An area where improvement is absolutely necessary and of great importance is motivation known to be an essential factor for preventing attrition in e-Learning. In this paper we investigate if the log files data analysis can be used to estimate the motivational level of the learner. A decision tree is build from a limited number of log files. The results suggest that time spent reading is an important factor for predicting motivation; also, performance in tests was found to be a relevant indicator of the motivational level.
  • Konferenzbeitrag
    From Personal Memories to Sharable Memories
    (14. GI-Workshop "Adapitivität und Benutzermodellierung in interaktiven Softwaresystemen", 2006) Basselin, Nathalie; Kröner, Alexander
    The exchange of personal experiences is a way of supporting decision making and interpersonal communication. In this article, we discuss how augmented personal memories could be exploited in order to support such a sharing. We start with a brief summary of a system implementing an augmented memory for a single user. Then, we exploit results from interviews to define an example scenario involving sharable memories. This scenario serves as background for a discussion of various questions related to sharing memories – and potential approaches to their solution. We especially focus on selection of relevant experiences and sharing partners, sharing methods, and the configuration of those sharing methods by means of reflection.
  • Konferenzbeitrag
    Personal Reader Agent: Personalized Access to Configurable Web Services
    (14. GI-Workshop "Adapitivität und Benutzermodellierung in interaktiven Softwaresystemen", 2006) Abel, Fabian; Brunkhorst, Ingo; Henze, Nicola; Krause, Daniel; Mushtaq, K.; Nasirifard, P.; Tomaschewski, Kai
    The Personal Reader Framework enables the design, realization and maintenance of personalized Web Content Reader. In this architecture personalized access to web content is realized by various Web Services - we call them Personalization Services. With our new approach of Configurable Web Services we allow users to configure these Personalization Services. Such configurations can be stored and reused at a later time. The interface between Users and Configurable Web Services is realized in a Personal Reader Agent. This Agent allows selection, configuration and calling of the Web Services and further provides personalization functionalities like reuse of stored configurations which suit to the users interests.
  • Konferenzbeitrag
    Personalisation in German Smart Sensor Web
    (14. GI-Workshop "Adapitivität und Benutzermodellierung in interaktiven Softwaresystemen", 2006) Leuchter, Sandro; Mühlenberg, Dirk; Schönbein, Rainer
    German Smart Sensor Web (GSSW) is an experimental system for the German Federal Armed Forces. Its purpose is to provide a secure integration infrastructure for networked sensors. GSSW has a middleware based on ontologies and software agent technology. It uses a semantic representation of sensor data and other information in the area of intelligence, surveillance and reconnaissance (ISR) to feed “smart” symbolic AI based assistance functions. Interface agents also use the knowledge representation to personalize different aspects of the user interface. In this contribution the current state of GSSW, its software architecture and the personalization features of the user interface layer are presented.
  • Konferenzbeitrag
    User and Usage Profiling in a Multi-platform Service Environment
    (14. GI-Workshop "Adapitivität und Benutzermodellierung in interaktiven Softwaresystemen", 2006) Aghasaryan, Armen; Betgé-Brezetz, Stéphane
    In this paper, we present a beginning work on a behavioural profiling approach within a multi- service environment where the service usage and content consumptions data are collected on different service delivery platforms and/or on the user terminals. Therefore, it is necessary to be able to aggregate these potentially heterogeneous data so that a faithful user profile can be induced. The information structure used for profile data representation must be designed in a way to allow its utilization by a number of real-time multi-media personalized applications.
  • Konferenzbeitrag
    User Profiling and Privacy Protection for a Web Service oriented Semantic Web
    (14. GI-Workshop "Adapitivität und Benutzermodellierung in interaktiven Softwaresystemen", 2006) Krause, Daniel; Henze, Nicola
    In a Web Service-based Semantic Web long term usage of single Services becomes uncommon. Therefore, user modeling on Web Service’s site will be imprecise due to the lack of a sufficient amount of user interaction. In our Personal Reader Framework user model is stored in a central place that can be accessed from different Web Services. By combining informations from different Web Services confidence of the user profile increases. To preserve user’s privacy, access to the user profile is restricted by policies. To enhance usability Personal Reader Framework, additionally, offers a single access point to the Semantic Web assisting the user in terms of discovering, configuring and invoking Web Services.
  • Konferenzbeitrag
    Validating Navigation Time Prediction Models for Menu Optimization
    (14. GI-Workshop "Adapitivität und Benutzermodellierung in interaktiven Softwaresystemen", 2006) Hollink, Vera; van Someren, Maarten
    Authors of menu optimization methods often use navigation time prediction models without validating whether the model is adequate for the site and its users. We review the assumptions underlying navigation time prediction models and present a method to validate these assumptions offline. Experiments on four web sites show how accurate the various model features describe the behavior of the users. These results can be used to select the best model for a new optimization task. In addition, we find that the existing optimization methods all use suboptimal models. This indicates that our results can significantly contribute to more effective menu optimization.