Towards a generalised framework for behaviour insight mining

Allmin Susaiyah; Aki Härmä; Ehud Reiter; Rim Helaoui; Milan Petković

Towards a generalised framework for behaviour insight mining

Allmin Susaiyah
, Aki Härmä
, Ehud Reiter
, Rim Helaoui
, Milan Petković

Research output: Contribution to journal › Conference article in journal › Academic › peer-review

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.

Original language	English
Pages (from-to)	92-99
Number of pages	8
Journal	CEUR Workshop Proceedings
Volume	2596
Publication status	Published - 2020
Externally published	Yes
Event	1st Workshop on Smart Personal Health Interfaces - Cagliari, Italy Duration: 17 Mar 2020 → 17 Mar 2020 Conference number: 1

Keywords

Behaviour-change-support-system
Behaviour-insight-mining
Data-to-text system

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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}",

note = "Funding Information: This work was supported by the Horizon H2020 Marie Sklodowska-Curie Actions Initial Training Network European Industrial Doctorates project under grant agreement No. 812882 (PhilHumans). The authors would like to acknowledge the CLAN reading group at the University of Aberdeen for their valuable feedback and discussions that greatly helped this work. Publisher Copyright: Copyright {\textcopyright} 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).; 1st Workshop on Smart Personal Health Interfaces, SmartPhil 2020 ; Conference date: 17-03-2020 Through 17-03-2020",

year = "2020",

language = "English",

volume = "2596",

pages = "92--99",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

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T1 - Towards a generalised framework for behaviour insight mining

AU - Susaiyah, Allmin

AU - Härmä, Aki

AU - Reiter, Ehud

AU - Helaoui, Rim

AU - Petković, Milan

N1 - Conference code: 1

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Behaviour-change-support-system

KW - Behaviour-insight-mining

KW - Data-to-text system

UR - https://www.scopus.com/pages/publications/85084917802

M3 - Conference article in journal

AN - SCOPUS:85084917802

SN - 1613-0073

VL - 2596

SP - 92

EP - 99

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 1st Workshop on Smart Personal Health Interfaces

Y2 - 17 March 2020 through 17 March 2020

ER -

Towards a generalised framework for behaviour insight mining

Abstract

Keywords

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