NudgeAlong: A case based approach to changing user behaviour

Eoghan O’Shea, Sarah Jane Delany, Rob Lane, Brian Mac Namee

Research output: Contribution to journalArticlepeer-review

Abstract

Companies want to change the way that users interact with their services. One of the main ways to do this is through messaging. It is well known that different users are likely to respond to different types of messages. Targeting the right message type at the right user is key to achieving successful behaviour change. This paper frames this as a case based reasoning problem. The case representation captures a summary of a user’s interactions with a company’s services over time. The case solution represents a message type that resulted in a desired change in the user’s behaviour. This paper describes this framework, how it has been tested using simulation and a short description of a test deployment.

Original languageEnglish
Pages (from-to)345-359
Number of pages15
JournalLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume8765
DOIs
Publication statusPublished - 2014

Keywords

  • Case based reasoning
  • Recommender systems
  • Simulation

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