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Context Modeling for the Adaption of Mobile Business Processes – An Empirical Usability Evaluation

Author

Listed:
  • Julian Dörndorfer

    (University of Applied Sciences Landshut)

  • Christian Seel

    (University of Applied Sciences Landshut)

Abstract

Nowadays, the Internet of Things (IoT) and mobile devices are ubiquitous. Both, the IoT and mobile devices contain sensors and thus can provide data about the device’s environment. The sensor data can be used to infer the current context. However, for this purpose, the sensor data have to be aggregated. In this aggregation process, several different sensors and data provided by other sources, such as databases, can be used. In order to facilitate this, the paper presents a modeling language for context modeling based on sensors. Moreover, a detailed usability evaluation of the presented context modeling language is shown. This evaluation is based on three hypotheses regarding learnability, time expenditure and effectiveness. An experiment involving an experimental group and a control group was conducted to test these three hypotheses, and the results were interpreted.

Suggested Citation

  • Julian Dörndorfer & Christian Seel, 2022. "Context Modeling for the Adaption of Mobile Business Processes – An Empirical Usability Evaluation," Information Systems Frontiers, Springer, vol. 24(1), pages 195-210, February.
    • Handle: RePEc:spr:infosf:v:24:y:2022:i:1:d:10.1007_s10796-020-10073-w
    DOI: 10.1007/s10796-020-10073-w
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    References listed on IDEAS

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    1. Vincenzo Morabito, 2014. "IT Consumerization," Springer Books, in: Trends and Challenges in Digital Business Innovation, edition 127, chapter 0, pages 89-110, Springer.
    2. Christian Schalles, 2013. "A Framework for Usability Evaluation of Modeling Languages (FUEML)," Springer Books, in: Usability Evaluation of Modeling Languages, edition 127, chapter 4, pages 43-68, Springer.
    3. Christian Schalles, 2013. "Usability Evaluation of Modeling Languages," Springer Books, Springer, edition 127, number 978-3-658-00051-6, February.
    4. Vincenzo Morabito, 2014. "Trends and Challenges in Digital Business Innovation," Springer Books, Springer, edition 127, number 978-3-319-04307-4, February.
    Full references (including those not matched with items on IDEAS)

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