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

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

doi:10.12688/wellcomeopenres.15900.1

Cited by 39 publications

(38 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This requires adoption of appropriate methods and frameworks that capture the hierarchy of actors in the system from individual to community to population11 and the full range of interventions that can be effective 12. Advances in the application of artificial intelligence to behavioural science can help with this 1314…”

Section: Imbalancementioning

confidence: 99%

Behavioural, environmental, social, and systems interventions against covid-19

Michie

West

2020

BMJ

Self Cite

View full text Add to dashboard Cite

show abstract

Section: Imbalancementioning

confidence: 99%

Behavioural, environmental, social, and systems interventions against covid-19

Michie

West

2020

BMJ

Self Cite

View full text Add to dashboard Cite

show abstract

“…The Intervention Setting Ontology has been found to be useful to manually annotate a large body of published intervention evaluation reports ( Michie et al , 2017 ). These manual annotations are informing the development and testing of information extraction algorithms ( Ganguly et al , 2018 ) to automate the process of identifying and organising knowledge about interventions within published reports ( Michie et al , 2020 ). This corpus of manually and automatically extracted data on intervention setting characteristics is being made available as it is produced on the Human Behaviour-Change Project’s GitHub page .…”

Section: Discussionmentioning

confidence: 99%

Development of an Intervention Setting Ontology for behaviour change: Specifying where interventions take place

et al. 2020

Self Cite

View full text Add to dashboard Cite

Background: Contextual factors such as an intervention’s setting are key to understanding how interventions to change behaviour have their effects and patterns of generalisation across contexts. The intervention’s setting is not consistently reported in published reports of evaluations. Using ontologies to specify and classify intervention setting characteristics enables clear and reproducible reporting, thus aiding replication, implementation and evidence synthesis. This paper reports the development of a Setting Ontology for behaviour change interventions as part of a Behaviour Change Intervention Ontology, currently being developed in the Wellcome Trust funded Human Behaviour-Change Project. Methods: The Intervention Setting Ontology was developed following methods for ontology development used in the Human Behaviour-Change Project: 1) Defining the ontology’s scope, 2) Identifying key entities by reviewing existing classification systems (top-down) and 100 published behaviour change intervention reports (bottom-up), 3) Refining the preliminary ontology by literature annotation of 100 reports, 4) Stakeholder reviewing by 23 behavioural science and public health experts to refine the ontology, 5) Assessing inter-rater reliability of using the ontology by two annotators familiar with the ontology and two annotators unfamiliar with it, 6) Specifying ontological relationships between setting entities and 7) Making the Intervention Setting Ontology machine-readable using Web Ontology Language (OWL) and publishing online. Results: The Intervention Setting Ontology consists of 72 entities structured hierarchically with two upper-level classes: Physical setting including Geographic location, Attribute of location (including Area social and economic condition, Population and resource density sub-levels) and Intervention site (including Facility, Transportation and Outdoor environment sub-levels), as well as Social setting. Inter-rater reliability was found to be 0.73 (good) for those familiar with the ontology and 0.61 (acceptable) for those unfamiliar with it. Conclusion: The Intervention Setting Ontology can be used to code information from diverse sources, annotate the setting characteristics of existing intervention evaluation reports and guide future reporting.

show abstract

“…Organizing and curating knowledge as complex as that associated with precision health is no small task with no simple answers. Space precludes a full discussion, but interested readers looking for steps forward could review the Human Behaviour Change Project out of University College London [ 140 ] and results from a recent National Science Foundation workshop in the USA focused on advancing knowledge curation in the social and behavioral sciences [ 139 ].…”

Section: Challenges To Precision Health and Ways The Social And Behavmentioning

confidence: 99%

Precision Health: The Role of the Social and Behavioral Sciences in Advancing the Vision

Hekler

Tiro

Hunter

et al. 2020

Annals of Behavioral Medicine

115

107

View full text Add to dashboard Cite

Background In 2015, Collins and Varmus articulated a vision for precision medicine emphasizing molecular characterization of illness to identify actionable biomarkers to support individualized treatment. Researchers have argued for a broader conceptualization, precision health. Precision health is an ambitious conceptualization of health, which includes dynamic linkages between research and practice as well as medicine, population health, and public health. The goal is a unified approach to match a full range of promotion, prevention, diagnostic, and treatment interventions to fundamental and actionable determinants of health; to not just address symptoms, but to directly target genetic, biological, environmental, and social and behavioral determinants of health. Purpose The purpose of this paper is to elucidate the role of social and behavioral sciences within precision health. Main body Recent technologies, research frameworks, and methods are enabling new approaches to measure, intervene, and conduct social and behavioral science research. These approaches support three opportunities in precision health that the social and behavioral sciences could colead including: (a) developing interventions that continuously “tune” to each person’s evolving needs; (b) enhancing and accelerating links between research and practice; and (c) studying mechanisms of change in real-world contexts. There are three challenges for precision health: (a) methods of knowledge organization and curation; (b) ethical conduct of research; and (c) equitable implementation of precision health. Conclusions Precision health requires active coleadership from social and behavioral scientists. Prior work and evidence firmly demonstrate why the social and behavioral sciences should colead with regard to three opportunity and three challenge areas.

show abstract

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

Cited by 39 publications

References 2 publications

Behavioural, environmental, social, and systems interventions against covid-19

Behavioural, environmental, social, and systems interventions against covid-19

Development of an Intervention Setting Ontology for behaviour change: Specifying where interventions take place

Precision Health: The Role of the Social and Behavioral Sciences in Advancing the Vision

Contact Info

Product

Resources

About