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Now, Later, Never: A Study of Urgency in Mobile Push-Notifications

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Advances in Mobile Computing and Multimedia Intelligence (MoMM 2022)

Abstract

Push-notifications, by design, attempt to grab the attention of subscribers and impart new or valuable information in a particular context. These nudges are commonly initiated by marketing teams and subsequent delivery interruptions tend to conflict with subscriber priorities and activities. In this work, we present a definition of urgency applied to notifications. We describe its value in an ontology for push-notification annotation and also evaluate a variety of classification models tasked with distinguishing urgency levels in notification text. The best model achieved an F1-score of 0.89. The proposed models have the potential to benefit subscribers by helping them better prioritize incoming notifications and also aid marketers in creating time-relevant campaigns.

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Notes

  1. 1.

    “people will be more likely to perform an unimportant task over an important task (...) when the unimportant task is merely characterized by spurious urgency”.

  2. 2.

    For a complete definition see https://www.w3.org/standards/semanticweb/.

  3. 3.

    Time ontology: https://www.w3.org/TR/owl-time/.

  4. 4.

    https://www.empushy.com.

  5. 5.

    Online documentation for APN is available at https://w3id.org/apn/.

  6. 6.

    Crowdsource annotation platform: https://appen.com/.

  7. 7.

    App push statistics available at https://empushy.github.io/momm22/#app-stats.

  8. 8.

    More information available at https://empushy.github.io/momm22/#test-stats.

  9. 9.

    References available at https://empushy.github.io/momm22/#algorithms.

  10. 10.

    See a complete list of used works at https://empushy.github.io/momm22/#time.

References

  1. Acosta, M.E., Palaoag, T.D.: Characterization of disaster related tweets according to its urgency: a pattern recognition. In: ICCAI’19, pp. 30–37 (2019)

    Google Scholar 

  2. Alshehri, Y.A.: Tasks’ classification based on their urgency and importance. In: ICCDA’20, pp. 183–189 (2020)

    Google Scholar 

  3. Aranda, J., Ali-Hasan, N., Baig, S.: I’m just trying to survive. In: MobileHCI’16, pp. 564–574 (2016)

    Google Scholar 

  4. Beddiar, D.R., Jahan, M.S., Oussalah, M.: Data expansion using back translation and paraphrasing for hate speech detection. OSNEM 24, 100153 (2021)

    Google Scholar 

  5. Cox, A., Bird, J., Brumby, D., Cecchinato, M., Gould, S.: Prioritizing unread e-mails: people send urgent responses before important or short ones. HCI 36(5-6), 511–534 (2020)

    Google Scholar 

  6. Esteves, B., Fraser, K., Kulkarni, S., Conlan, O., Rodríguez-Doncel, V.: Extracting and understanding CTAs of push-notifications. In: NLDB’22, pp. 147–159 (2022)

    Google Scholar 

  7. Fraser, K., Conlan, O.: Enticing Notification Text & the Impact on Engagement, pp. 444–449. UbiComp-ISWC ’20 (2020)

    Google Scholar 

  8. Kalman, Y.M., Ballard, D.I., Aguilar, A.M.: Chronemic urgency in everyday digital communication. Time Soc. 30(2), 153–175 (2021)

    Article  Google Scholar 

  9. Laparra, E., Xu, D., Bethard, S.: From characters to time intervals: new paradigms for evaluation and neural parsing of time normalization. TACL 6, 343–356 (2018)

    Article  Google Scholar 

  10. Mehrotra, A., Musolesi, M., Hendley, R., Pejovic, V.: Designing content-driven intelligent notification mechanisms. In: UbiComp’15, pp. 813–824 (2015)

    Google Scholar 

  11. Mehrotra, A., Pejovic, V., Vermeulen, J., Hendley, R., Musolesi, M.: My phone and me. In: CHI’16, pp. 1021–1032 (2016)

    Google Scholar 

  12. Middleton, C.A., Cukier, W.: Is mobile email functional or dysfunctional? Two perspectives on mobile email usage. EJIS 15(3), 252–260 (2006)

    Google Scholar 

  13. Reimers, N., Gurevych, I.: Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks. In: EMNLP’19, pp. 3973–3983 (2019)

    Google Scholar 

  14. Sappelli, M., Verberne, S., Kraaij, W.: Combining textual and non-textual features for e-mail importance estimation (2013)

    Google Scholar 

  15. Shorten, C., Khoshgoftaar, T.M., Furht, B.: Text data augmentation for deep learning. J. Big Data 8(1), 1–34 (2021)

    Article  Google Scholar 

  16. Zhu, M., Yang, Y., Hsee, C.K.: The mere urgency effect. J. Consum. Res. 45(3), 673–690 (2018)

    Google Scholar 

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Acknowledgements

This research has been supported by the EU’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 813497 as well as with the financial support of Enterprise Ireland, the ERDF under Ireland’s ESIF Programme 2014–2020 and SFI under Grant Agreement No 13/RC/2106_P2 at the ADAPT Centre at Trinity College.

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Correspondence to Beatriz Esteves .

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Esteves, B., Fraser, K., Kulkarni, S., Conlan, O., Rodríguez-Doncel, V. (2022). Now, Later, Never: A Study of Urgency in Mobile Push-Notifications. In: Delir Haghighi, P., Khalil, I., Kotsis, G. (eds) Advances in Mobile Computing and Multimedia Intelligence. MoMM 2022. Lecture Notes in Computer Science, vol 13634. Springer, Cham. https://doi.org/10.1007/978-3-031-20436-4_4

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  • DOI: https://doi.org/10.1007/978-3-031-20436-4_4

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  • Print ISBN: 978-3-031-20435-7

  • Online ISBN: 978-3-031-20436-4

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