Artikel in Tagungsband INPROC-2010-44

Häussermann, Kai; Hubig, Christoph; Levi, Paul; Leymann, Frank; Simoneit, Oliver; Wieland, Matthias; Zweigle, Oliver: Understanding and designing situation-aware mobile and ubiquitous computing systems - an interdisciplinary analysis on the recognition of situation with uncertain data using situation templates..
In: Proceedings of International Conference on Mobile, Ubiquitous and Pervasive Computing.
Universität Stuttgart : Sonderforschungsbereich SFB 627 (Nexus: Umgebungsmodelle für mobile kontextbezogene Systeme).
S. 329-339, englisch.
WASET, März 2010.
ISSN: 2070-3724.
Artikel in Tagungsband (Konferenz-Beitrag).
CR-Klassif.H.1.0 (Information Systems Models and Principles General)
H.1.1 (Systems and Information Theory)
H.1.2 (User/Machine Systems)
Keywordscontext-awareness; ethics; facilitation of system use through workflows

Using spatial models as a shared common basis of information about the environment for different kinds of context- aware systems has been a heavily researched topic in the last years. Thereby the research focused on how to create, to update, and to merge spatial models so as to enable highly dynamic, consistent and coherent spatial models at large scale. In this paper however, we want to concentrate on how context-aware applications could use this information so as to adapt their behavior according to the situation they are in. The main idea is to provide the spatial model infrastructure with a situation recognition component based on generic situation templates. A situation template is - as part of a much larger situation template library - an abstract, machine- readable description of a certain basic situation type, which could be used by different applications to evaluate their situation. In this paper, different theoretical and practical issues - technical, ethical and philosophical ones - are discussed important for understanding and developing situation dependent systems based on situation templates. A basic system design is presented which allows for the reasoning with uncertain data using an improved version of a learning algorithm for the automatic adaption of situation templates. Finally, for supporting the development of adaptive applications, we present a new situation-aware adaptation concept based on workflows.

Abteilung(en)Universität Stuttgart, Institut für Philosophie, Abteilung für Wissenschaftstheorie und Technikphilosophie (IP/WTTP)
Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Bildverstehen
Universität Stuttgart, Institut für Architektur von Anwendungssystemen
Projekt(e)SFB-627, E1 (Universität Stuttgart, Institut für Architektur von Anwendungssystemen)
SFB-627, E3 (Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Bildverstehen)
SFB-627, D3 (Universität Stuttgart, Institut für Philosophie, Abteilung für Wissenschaftstheorie und Technikphilosophie (IP/WTTP))
Eingabedatum27. Mai 2010
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