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A Model-Based Approach for Expansion of Androids Status-Bar-Notification

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Design, Operation and Evaluation of Mobile Communications (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14052))

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Abstract

Workarounds are required to assist in interpreting the received message information in developing android applications that use notifications. The applications require making decisions on how to utilize the received notification.

Arguably, notifications are the most dynamic objects that may appear at any time, and it is vital to decide which notifications are expandable. This work proposes a formal model for expanding notifications for Android applications.

The model utilizes two algorithms that cooperate in evaluating errors in the status-Bar-Notifications (SBN) and decides on the expansion of the notification. This model-based decision-making increases the efficiency of discriminating the expandable notifications from the non-expandable ones using the linear classification based on the frequency distribution of dynamic values inside a Status-Bar-Notification.

This work is partially supported by Sidia institute of science and technology, and Samsung Eletrônica da Amazônia Ltda, under the auspice of the Brazilian informatics law no 8.387/91.

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Notes

  1. 1.

    https://developer.android.com/studio.

  2. 2.

    https://kotlinlang.org/.

References

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Correspondence to Aasim Khurshid .

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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De Moraes Firmino, E.C., Khurshid, A. (2023). A Model-Based Approach for Expansion of Androids Status-Bar-Notification. In: Salvendy, G., Wei, J. (eds) Design, Operation and Evaluation of Mobile Communications . HCII 2023. Lecture Notes in Computer Science, vol 14052. Springer, Cham. https://doi.org/10.1007/978-3-031-35921-7_2

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  • DOI: https://doi.org/10.1007/978-3-031-35921-7_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35920-0

  • Online ISBN: 978-3-031-35921-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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