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

Wellcome Open Res. 2020 Jun 10:5:122. doi: 10.12688/wellcomeopenres.15900.1. eCollection 2020.

Authors

Affiliations

¹ Centre for Behaviour Change, University College London, London, UK.
² UCL Institute of Education, University College London, London, UK.
³ IBM Research, Dublin, Ireland.
⁴ Research Department of Epidemiology & Public Health, University College London, London, UK.
⁵ Aberdeen Health Psychology Group, University of Aberdeen, Aberdeen, UK.
⁶ Primary Care Unit, Institute of Public Health, University of Cambridge, Cambridge, UK.
⁷ Centre for Computational Statistics and Machine Learning, University College London, London, UK.

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.

Publication types

Editorial

Abstract

Publication types

Grants and funding