Towards a Generalised Framework for Behaviour Insight Mining

Allmin Susaiyah, Aki H¨arm¨a, Ehud Reiter, Rim Helaoui, Milan Petkovi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A behaviour insight is a statement that explains the behaviour of a user’s activity or a system’s performance under certain conditions. Care must be taken to deliver insights in a way that is useful to the user. Mining for such insights and generating text to communicate about those is a complicated process and there is a need for standardisation to ensure it is done properly. In this work, we lay down the foundation towards a generalised behaviour insight mining framework based on our previous experiences in developing them and express our views on how it can be adopted in a wide range of applications such as Sleep, Marketing, Medical Image Diagnosis and clinical workflow management.
Original languageEnglish
Title of host publicationProceedings of SmartPHIL: 1st Workshop on Smart Personal Health Interfaces
PublisherACM
Publication statusAccepted/In press - 4 Feb 2020
EventSmartPHIL: 1st Workshop on Smart Personal Health Interfaces - Cagliari, Italy
Duration: 17 Mar 202020 Mar 2020

Conference

ConferenceSmartPHIL
CountryItaly
CityCagliari
Period17/03/2020/03/20

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Keywords

  • data-to-text system
  • ·behaviour-insight-mining
  • behaviourchange-support-system

Cite this

Susaiyah, A., H¨arm¨a, A., Reiter, E., Helaoui, R., & Petkovi, M. (Accepted/In press). Towards a Generalised Framework for Behaviour Insight Mining. In Proceedings of SmartPHIL: 1st Workshop on Smart Personal Health Interfaces ACM.