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Merging Situation Analytics and Model-Based User Interface Development for Building Runtime-Adaptive Business Applications

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Perspectives in Business Informatics Research (BIR 2018)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 330))

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Abstract

Situation analytics can be used to recognize the changing behavior, emotional state and environmental context of a user during complex task processing. This paper discusses the SitAdapt 2.0 architecture that combines a situation analytics platform with pattern- and model-based user interface construction tools in order to build runtime-adaptive interactive business applications with enhanced user experience and task-accomplishment characteristics. The paper focuses on the software components and tools for observing and tracking the user, modeling situations, recognizing situations, and modeling and generating structural changes and actions for generating the dynamic adaptations. The adaptive functionality of the system is demonstrated for a web-application for long-distance travel booking.

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Authors and Affiliations

  1. Faculty of Computer Science, Augsburg University of Applied Sciences, An der Hochschule 1, 86161, Augsburg, Germany

    Christian Märtin, Felix Kampfer, Christian Herdin & Lionnelle Biawan Yameni

  2. Institute of Computer Science, University of Rostock, Albert-Einstein-Straße 22, 18051, Rostock, Germany

    Christian Herdin

Authors
  1. Christian Märtin
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  2. Felix Kampfer
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  3. Christian Herdin
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  4. Lionnelle Biawan Yameni
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Corresponding author

Correspondence to Christian Märtin .

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Editors and Affiliations

  1. Stockholm University, Kista, Sweden

    Jelena Zdravkovic

  2. Riga Technical University, Riga, Latvia

    Jānis Grabis

  3. Université de Paris 1 Panthéon - Sorbonne, Paris, France

    Selmin Nurcan

  4. Stockholm University, Kista, Sweden

    Janis Stirna

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Märtin, C., Kampfer, F., Herdin, C., Yameni, L.B. (2018). Merging Situation Analytics and Model-Based User Interface Development for Building Runtime-Adaptive Business Applications. In: Zdravkovic, J., Grabis, J., Nurcan, S., Stirna, J. (eds) Perspectives in Business Informatics Research. BIR 2018. Lecture Notes in Business Information Processing, vol 330. Springer, Cham. https://doi.org/10.1007/978-3-319-99951-7_12

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  • DOI: https://doi.org/10.1007/978-3-319-99951-7_12

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