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  4. Can a Recommender System Support Treatment Personalisation in Digital Mental Health Therapy? A Quantitative Feasibility Assessment Using Data from a Behavioural Activation Therapy App

Can a Recommender System Support Treatment Personalisation in Digital Mental Health Therapy? A Quantitative Feasibility Assessment Using Data from a Behavioural Activation Therapy App

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Author(s)
Lewis, Robert
•
Ferguson, Craig
•
Wilks, Chelsey
•
Jones, Noah
•
Picard, Rosalind W.
Date Issued
April 27, 2022
Publisher
ACM|CHI Conference on Human Factors in Computing Systems Extended Abstracts
Citation
Lewis, Robert, Ferguson, Craig, Wilks, Chelsey, Jones, Noah and Picard, Rosalind. 2022. "Can a Recommender System Support Treatment Personalisation in Digital Mental Health Therapy? A Quantitative Feasibility Assessment Using Data from a Behavioural Activation Therapy App."
Version
Final published version
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
https://hdl.handle.net/1721.1/146133
DOI of Published Version
https://doi.org/10.1145/3491101.3519840
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