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Modelling of Polymorphic User Interfaces at the Appropriate Level of Abstraction

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Advances in Artificial Intelligence, Software and Systems Engineering (AHFE 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 787))

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Abstract

Polymorphic user interfaces (UIs) can offer different modes of display and interaction for different devices, situations and user needs. This increased variety adds complexity to UI development, which is often addressed by model-based UI development approaches. However, existing approaches do not offer an attractive balance of required abstraction and a graphical and vivid representation for developers. In this paper, we present the Model-with-Example approach that combines abstract interaction modelling with a wireflow-like concrete visualization. The results of a user study with industrial front-end developers show that this concrete visualization can improve development efficiency.

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Notes

  1. 1.

    The scale for the item “Mental effort” has been reversed before further calculations to match the principle of higher values representing a positive tendency of the other items.

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Acknowledgments

The research leading to these results has received funding from the European Union’s Seventh Framework Program under grant agreements no. 248606, “MyUI” and no. 610510, “Prosperity4All”. The opinions herein are those of the authors and not necessarily those of the funding agency.

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Authors and Affiliations

  1. Fraunhofer IAO, Nobelstr. 12, 70569, Stuttgart, Germany

    Daniel Ziegler & Matthias Peissner

Authors
  1. Daniel Ziegler
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  2. Matthias Peissner
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Corresponding author

Correspondence to Daniel Ziegler .

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Editors and Affiliations

  1. University of Central Florida, Orlando, Florida, USA

    Tareq Z. Ahram

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Ziegler, D., Peissner, M. (2019). Modelling of Polymorphic User Interfaces at the Appropriate Level of Abstraction. In: Ahram, T. (eds) Advances in Artificial Intelligence, Software and Systems Engineering. AHFE 2018. Advances in Intelligent Systems and Computing, vol 787. Springer, Cham. https://doi.org/10.1007/978-3-319-94229-2_5

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