The Human Behaviour-Change Project: An artificial intelligence system to answer questions about changing behaviour

Susan Michie; James Thomas; Pol Mac Aonghusa; Robert West; Marie Johnston; Michael P. Kelly; John Shawe-Taylor; Janna Hastings; Francesca Bonin; Alison O'Mara-Eves

doi:10.12688/wellcomeopenres.15900.1

The Human Behaviour-Change Project: An artificial intelligence system to answer questions about changing behaviour

Susan Michie^*, James Thomas, Pol Mac Aonghusa, Robert West, Marie Johnston, Michael P. Kelly, John Shawe-Taylor, Janna Hastings, Francesca Bonin, Alison O'Mara-Eves

^*Corresponding author for this work

Research output: Contribution to journal › Editorial › peer-review

15 Citations (Scopus)

1 Downloads (Pure)

Abstract

Changing behaviour is necessary to address many of the threats facing human populations. However, identifying behaviour change interventions likely to be effective in particular contexts as a basis for improving them presents a major challenge. The Human Behaviour-Change Project harnesses the power of artificial intelligence and behavioural science to organise global evidence about behaviour change to predict outcomes in common and unknown behaviour change scenarios.

Original language	English
Article number	122
Number of pages	5
Journal	Wellcome open research
Volume	5
DOIs	https://doi.org/10.12688/wellcomeopenres.15900.1
Publication status	Published - 10 Jun 2020

Keywords

Artificial intelligence
Behaviour change
Evidence synthesis
Interventions
Ontologies

Access to Document

10.12688/wellcomeopenres.15900.1Licence: CC BY

Michie_HumanBehaviourChange_VOR
Copyright: © 2020 Michie S et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. https://creativecommons.org/licenses/by/4.0/
Final published version, 233 KBLicence: CC BY

Cite this

@article{9fa23a8d7d1b4ddeb99dcc41e3b165f3,

title = "The Human Behaviour-Change Project: An artificial intelligence system to answer questions about changing behaviour",

abstract = "Changing behaviour is necessary to address many of the threats facing human populations. However, identifying behaviour change interventions likely to be effective in particular contexts as a basis for improving them presents a major challenge. The Human Behaviour-Change Project harnesses the power of artificial intelligence and behavioural science to organise global evidence about behaviour change to predict outcomes in common and unknown behaviour change scenarios.",

keywords = "Artificial intelligence, Behaviour change, Evidence synthesis, Interventions, Ontologies",

author = "Susan Michie and James Thomas and {Mac Aonghusa}, Pol and Robert West and Marie Johnston and Kelly, {Michael P.} and John Shawe-Taylor and Janna Hastings and Francesca Bonin and Alison O'Mara-Eves",

note = "AcknowledgementsWith thanks to the HBCP research team: Ailbhe Finnerty, Debasis Ganguly, Martin Gleize, Emily Hayes, Yufang Hou, Eva Jermutus, Charles Jochim, Candice Moore, Emma Norris, Patrick O{\textquoteright}Driscoll, Paulina Schenk, Gillian Stokes, Alison Wright, Silje Zink.",

year = "2020",

month = jun,

day = "10",

doi = "10.12688/wellcomeopenres.15900.1",

language = "English",

volume = "5",

journal = "Wellcome open research",

issn = "2398-502X",

publisher = "F1000 Research Ltd.",

}

TY - JOUR

T1 - The Human Behaviour-Change Project

T2 - An artificial intelligence system to answer questions about changing behaviour

AU - Michie, Susan

AU - Thomas, James

AU - Mac Aonghusa, Pol

AU - West, Robert

AU - Johnston, Marie

AU - Kelly, Michael P.

AU - Shawe-Taylor, John

AU - Hastings, Janna

AU - Bonin, Francesca

AU - O'Mara-Eves, Alison

N1 - AcknowledgementsWith thanks to the HBCP research team: Ailbhe Finnerty, Debasis Ganguly, Martin Gleize, Emily Hayes, Yufang Hou, Eva Jermutus, Charles Jochim, Candice Moore, Emma Norris, Patrick O’Driscoll, Paulina Schenk, Gillian Stokes, Alison Wright, Silje Zink.

PY - 2020/6/10

Y1 - 2020/6/10

N2 - Changing behaviour is necessary to address many of the threats facing human populations. However, identifying behaviour change interventions likely to be effective in particular contexts as a basis for improving them presents a major challenge. The Human Behaviour-Change Project harnesses the power of artificial intelligence and behavioural science to organise global evidence about behaviour change to predict outcomes in common and unknown behaviour change scenarios.

AB - Changing behaviour is necessary to address many of the threats facing human populations. However, identifying behaviour change interventions likely to be effective in particular contexts as a basis for improving them presents a major challenge. The Human Behaviour-Change Project harnesses the power of artificial intelligence and behavioural science to organise global evidence about behaviour change to predict outcomes in common and unknown behaviour change scenarios.

KW - Artificial intelligence

KW - Behaviour change

KW - Evidence synthesis

KW - Interventions

KW - Ontologies

UR - http://www.scopus.com/inward/record.url?scp=85086788582&partnerID=8YFLogxK

U2 - 10.12688/wellcomeopenres.15900.1

DO - 10.12688/wellcomeopenres.15900.1

M3 - Editorial

C2 - 32566761

AN - SCOPUS:85086788582

VL - 5

JO - Wellcome open research

JF - Wellcome open research

SN - 2398-502X

M1 - 122

ER -

The Human Behaviour-Change Project: An artificial intelligence system to answer questions about changing behaviour

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this