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.
CITATION STYLE
Fraser, K., Yousuf, B., & Conlan, O. (2019). Scrutable and persuasive push-notifications. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11433 LNCS, pp. 67–73). Springer Verlag. https://doi.org/10.1007/978-3-030-17287-9_6
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