@inproceedings{eb191562be0445399205e4de40011d3e,
title = "Towards a generalised framework for behaviour insight mining",
abstract = "A behaviour insight is a statement t h a t 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.",
keywords = "Behaviour-change-support-system, Behaviour-insight-mining, Data-to-text system",
author = "Allmin Susaiyah and Aki H{\"a}rm{\"a} and Ehud Reiter and Rim Helaoui and Milan Petkovi{\'c}",
year = "2020",
language = "English",
series = "CEUR Workshop Proceedings",
publisher = "CEUR-WS.org",
pages = "92--99",
editor = "Sergio Consoli and {Reforgiato Recupero}, Diego and Daniele Riboni",
booktitle = "SmartPhil 2020 First Workshop on Smart Personal Health Interfaces",
note = "1st Workshop on Smart Personal Health Interfaces, SmartPhil 2020 ; Conference date: 17-03-2020",
}