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Situation-Aware Adaptations for Individualized User Experience and Task Management Optimization

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Human-Computer Interaction (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14011))

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Abstract

The SitAdapt system is an architecture and runtime system for building adaptive interactive applications. The system is integrated into the PaMGIS framework for pattern- and model-based user interface construction and generation. This paper focuses on the different types of adaptations and the timeslots for controlling the options for changing the user interface and the interactive behavior. During sessions the system is monitoring the user and collecting visual, bio-physical, and emotional data that may vary over time. Based on these data situations can be recognized and adaptation rules that activate the PaMGIS models and resources can be triggered at runtime. The operation of the system is demonstrated with examples from an adaptive travel-booking application. The paper also discusses, how task accomplishment can be controlled by mapping real user activities during a session to the task models that are made available through the PaMGIS model repositories.

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Acknowledgements

The authors would like to thank Erwin Hrschitza and Daniel Beck, who implemented the travel-booking web-application in their bachelor theses and provided part of the figures for this paper.

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Authors and Affiliations

  1. University of Rostock, Albert-Einstein-Str. 22, 18059, Rostock, Germany

    Christian Herdin

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

    Christian Märtin

Authors
  1. Christian Herdin
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  2. Christian Märtin
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Corresponding author

Correspondence to Christian Herdin .

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Editors and Affiliations

  1. The Open University of Japan, Chiba, Japan

    Masaaki Kurosu

  2. Hosei University, Tokyo, Japan

    Ayako Hashizume

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Herdin, C., Märtin, C. (2023). Situation-Aware Adaptations for Individualized User Experience and Task Management Optimization. In: Kurosu, M., Hashizume, A. (eds) Human-Computer Interaction. HCII 2023. Lecture Notes in Computer Science, vol 14011. Springer, Cham. https://doi.org/10.1007/978-3-031-35596-7_8

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  • DOI: https://doi.org/10.1007/978-3-031-35596-7_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35595-0

  • Online ISBN: 978-3-031-35596-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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