Auflistung nach Autor:in "Heckmann, Dominik"
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- KonferenzbeitragABIS12 - Personalization and Recommendation on the Web and Beyond(Mensch & Computer 2012 – Workshopband: interaktiv informiert – allgegenwärtig und allumfassend!?, 2012) Herder, Eelco; Augstein, Mirjam; Heckmann, DominikABIS 2012 is an international workshop, organized by the SIG on Adaptivity and User Modeling of the German Gesellschaft für Informatik. For the last 19 years ABIS has been a highly interactive forum for discussing the state of the art in personalization and user modeling. Latest developments in industry and research are presented in plenary sessions, forums and tutorials. Researchers, PhD students and Web professionals obtain and exchange novel ideas, expertise and feedback. ABIS 2012 is organized as part of Mensch & Computer 2012, the leading event in the area of human-computer interaction in German speaking countries.
- 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.
- KonferenzbeitragAdaptive User Interfaces on Tablets to Support People With Disabilities(ABIS 2012, 2012) Kurschl, Werner; Augstein, Mirjam; Stitz, HolgerWith the advent of tablet computers, touch screens, gesture-based interaction and speech recognition, sophisticated applications with Natural User Interfaces (NUIs) become state of the art. NUIs have the potential to support people with disabilities, e.g., in their daily activities or in acquiring specific skills. Yet, one main challenge is that this user group has diverse abilities and handicaps so that an interaction design must be highly configurable to make NUIs beneficial. The introduction of adaptivity might be promising in order to overcome configuration complexity and effort. This paper presents an approach to adaptive user interfaces on tablets to support people with disabilities.
- KonferenzbeitragDistributed user modeling for situated interaction(Informatk 2005. Informatik Live! Band 1, 2005) Heckmann, DominikA distributed service to model and control contextual information in mobile and ubiquitous computing environments is presented in this paper. We introduce the general user model ontology GUMO for the uniform interpretation of distributed situational information in intelligent semantic web enriched environments. We show the relation to the user model markup language USERML, that is used to exchange partial models between different adaptive applications. Our modeling and retrieval approach bases on semantic web technology and conflict resolution concepts.
- KonferenzbeitragInfluencing Factors for User Context in Proactive Mobile Recommenders(ABIS 2012, 2012) Woerndl, Wolfgang; Lerchenmueller, Benjamin; Schulze, FlorianProactive recommender systems break the standard request-response pattern of traditional recommenders by pushing item suggestions to the user when the situation seems appropriate. To support proactive recommendations in a mobile scenario, we have developed a two-phase proactivity model based on the current context of the user. In this paper, we explain our approach to model context by identifying different components: user and device status, and user activity. We have conducted an online survey among over 100 users to investigate how different context attributes influence the decision when to generate proactive recommendations. Thus, we were able to acquire appropriateness factors and weights for the context features in our proactivity model.
- KonferenzbeitragIntegrating semantic relatedness in a collaborative filtering system(ABIS 2012, 2012) Ferrara, Felice; Tasso, CarloCollaborative Filtering (CF) recommender systems use opinions of people for filtering relevant information. The accuracy of these applications depends on the mechanism used to filter and combine the opinions (the feedback) provided by users. In this paper we propose a mechanism aimed at using semantic relations extracted from Wikipedia in order to adaptively filter and combine the feedback of people. The semantic relatedness among the concepts/pages of Wikipedia is used to identify the opinions which are more significant for predicting a rating for an item. We show that our approach improves the accuracy of the predictions and it also opens opportunities for providing explanations on the obtained recommendations.
- KonferenzbeitragIntroducing ”Situational Statements” as an integrating Data Structure for User Modeling, Context-Awareness and Resource-Adaptive Computing(11. GI-Workshop "Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen", 2003) Heckmann, DominikUbiquitous computing will have a unifying influence on user modeling, context-awareness and resource-adaptivity. The idea of this paper is to suggest a basic, semantically founded, uniform data structure that is simple but still expressive enough to cover all representational needs. An extended triple, which is based on RDF resources is introduced as well as an XML application for so called ”Situational Statements”.
- KonferenzbeitragMashing up user data in the Grapple User Modeling Framework(17th Workshop on Adaptivity and User Modeling in Interactive Systems, 2009) Abel, Fabian; Heckmann, Dominik; Herder, Eelco; Hidders, Jan; Houben, Geert-Jan; Krause, Daniel; Leonardi, Erwin; van der Sluijs, KeesIn this paper we demonstrate the Grapple User Modeling Framework (GUMF), which exploits Semantic Web technologies and Web 2.0 paradigms to model users across different applications and domains. It introduces novel features such as dataspaces, which logically bundle user data, and user pipes, which allow to mash up user data from different sources.
- KonferenzbeitragMERCURY: User Centric Device and Service Processing – Demo paper(ABIS 2012, 2012) Opasjumruskit, Kobkaew; Expósito, Jesús; König-Ries, Birgitta; Nauerz, Andreas; Welsch, MartinIn this paper, we present MERCURY, a platform for simple, user-centric integration and management of heterogeneous devices and services via a web-based interface. In contrast to existing approaches, MERCURY is geared towards non-IT-savvy end users. It enables these end users to easily interconnect devices, which can act as sensors or actuators, to model rules that trigger actions. Sets of rules allow users to model entire, often reoccurring, scenarios. Also, these must be user-centric and context adaptive. It shall thus enable users to take full advantage of the potential for support in everyday life such integration offers. Technically, our solution is based on Portal technology. We describe a tangible scenario to portray the steps a user will need to take to achieve the desired functionality.
- KonferenzbeitragMining Twitter for Cultural Patterns(ABIS 2012, 2012) Ilina, Elena; Abel, Fabian; Houben, Geert-JanAdaptive applications rely on the knowledge of their users, their needs and differences. For instance, in the scope of the ImReal 1 project, a training process is adapted to users’ origins using information on user cultural backgrounds. For inferring culture-specific information from available microblogging content, we monitor the usage of Twitter elements such as hashtags, web links and user mentions. We analyze how users from different cultural groups employ these elements when they tweet. This allows us to get insights on microblogging patterns for different cultural groups of Twitter users and an outlook into user preferences and traits towards sharing content with others, time preferences, and social networking attitudes. Potentially, such information can be used for adapting software applications in accord with user culture-specific behavioral traits.