Abstract
Push-notifications have the potential to reinforce positive behaviours when applied in an intelligent manner. This paper explores a method of improving the delivery process of push-notifications by extracting scrutable persuasive features and refining prediction of notification outcomes. Additionally, a method is proposed for generating recommended notifications, based on the extracted persuasive features, to maximise potential engagement for scenarios such as behavioural interventions. The results illustrate that the persuasive features extracted contributed toward improved push-notification action prediction and that the personalised persuasive notifications recommended vastly increased the Click Through Rate (CTR) of notifications.
This research is supported by the ADAPT Centre for Digital Content Technology under the SFI Research Centre’s Program (Grant 13/RC/2106) and is co-funded under the European Regional Development Fund.
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References
Cialdini, R.B.: Influence, vol. 3. A. Michel, Port Harcourt (1987)
Esteban, C., Hyland, S.L., Rätsch, G.: Real-valued (medical) time series generation with recurrent conditional GANs. arXiv preprint arXiv:1706.02633 (2017)
Fraser, K., Yousuf, B., Conlan, O.: Synthesis and evaluation of a mobile notification dataset. In: Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization (2017)
Gulrajani, I., Ahmed, F., Arjovsky, M., Dumoulin, V., Courville, A.C.: Improved training of Wasserstein GANs. In: Advances in Neural Information Processing Systems, pp. 5767–5777 (2017)
Thomas, J.R., Masthoff, J., Oren, N.: Personalising healthy eating messages to age, gender and personality: using Cialdini’s principles and framing. In: Proceedings of the 22nd International Conference on Intelligent User Interfaces Companion (2017)
Louppe, G., Wehenkel, L., Sutera, A., Geurts, P.: Understanding variable importances in forests of randomized trees. In: Advances in Neural Information Processing Systems, pp. 431–439 (2013)
Morrison, L.G., Hargood, C., Pejovic, V., et al.: The effect of timing and frequency of push notifications on usage of a smartphone-based stress management intervention: an exploratory trial. PloS ONE 12(1), e0169162 (2017)
Oulasvirta, A., Rattenbury, T., Ma, L., Raita, E.: Habits make smartphone use more pervasive. Pers. Ubiquit. Comput. 16(1), 105–114 (2012)
Smith, K.A., Dennis, M., Masthoff, J.: Personalizing reminders to personality for melanoma self-checking. In: Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, pp. 85–93. ACM (2016)
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Fraser, K., Yousuf, B., Conlan, O. (2019). Scrutable and Persuasive Push-Notifications. In: Oinas-Kukkonen, H., Win, K., Karapanos, E., Karppinen, P., Kyza, E. (eds) Persuasive Technology: Development of Persuasive and Behavior Change Support Systems. PERSUASIVE 2019. Lecture Notes in Computer Science(), vol 11433. Springer, Cham. https://doi.org/10.1007/978-3-030-17287-9_6
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DOI: https://doi.org/10.1007/978-3-030-17287-9_6
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