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

Bibliographic Details
Main Authors: Lewis, Robert, Ferguson, Craig, Wilks, Chelsey, Jones, Noah, Picard, Rosalind W.
Other Authors: Massachusetts Institute of Technology. Media Laboratory
Format: Article
Language:English
Published: ACM|CHI Conference on Human Factors in Computing Systems Extended Abstracts 2022
Online Access:https://hdl.handle.net/1721.1/146133
_version_ 1826199956647575552
author Lewis, Robert
Ferguson, Craig
Wilks, Chelsey
Jones, Noah
Picard, Rosalind W.
author2 Massachusetts Institute of Technology. Media Laboratory
author_facet Massachusetts Institute of Technology. Media Laboratory
Lewis, Robert
Ferguson, Craig
Wilks, Chelsey
Jones, Noah
Picard, Rosalind W.
author_sort Lewis, Robert
collection MIT
first_indexed 2024-09-23T11:28:30Z
format Article
id mit-1721.1/146133
institution Massachusetts Institute of Technology
language English
last_indexed 2024-09-23T11:28:30Z
publishDate 2022
publisher ACM|CHI Conference on Human Factors in Computing Systems Extended Abstracts
record_format dspace
spelling mit-1721.1/1461332024-08-09T20:00:22Z Can a Recommender System Support Treatment Personalisation in Digital Mental Health Therapy? A Quantitative Feasibility Assessment Using Data from a Behavioural Activation Therapy App Lewis, Robert Ferguson, Craig Wilks, Chelsey Jones, Noah Picard, Rosalind W. Massachusetts Institute of Technology. Media Laboratory 2022-11-03T18:17:18Z 2022-11-03T18:17:18Z 2022-04-27 2022-11-03T00:17:57Z Article http://purl.org/eprint/type/ConferencePaper 978-1-4503-9156-6 https://hdl.handle.net/1721.1/146133 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." PUBLISHER_POLICY en https://doi.org/10.1145/3491101.3519840 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. The author(s) application/pdf ACM|CHI Conference on Human Factors in Computing Systems Extended Abstracts ACM|CHI Conference on Human Factors in Computing Systems Extended Abstracts
spellingShingle Lewis, Robert
Ferguson, Craig
Wilks, Chelsey
Jones, Noah
Picard, Rosalind W.
Can a Recommender System Support Treatment Personalisation in Digital Mental Health Therapy? A Quantitative Feasibility Assessment Using Data from a Behavioural Activation Therapy App
title Can a Recommender System Support Treatment Personalisation in Digital Mental Health Therapy? A Quantitative Feasibility Assessment Using Data from a Behavioural Activation Therapy App
title_full Can a Recommender System Support Treatment Personalisation in Digital Mental Health Therapy? A Quantitative Feasibility Assessment Using Data from a Behavioural Activation Therapy App
title_fullStr Can a Recommender System Support Treatment Personalisation in Digital Mental Health Therapy? A Quantitative Feasibility Assessment Using Data from a Behavioural Activation Therapy App
title_full_unstemmed Can a Recommender System Support Treatment Personalisation in Digital Mental Health Therapy? A Quantitative Feasibility Assessment Using Data from a Behavioural Activation Therapy App
title_short Can a Recommender System Support Treatment Personalisation in Digital Mental Health Therapy? A Quantitative Feasibility Assessment Using Data from a Behavioural Activation Therapy App
title_sort can a recommender system support treatment personalisation in digital mental health therapy a quantitative feasibility assessment using data from a behavioural activation therapy app
url https://hdl.handle.net/1721.1/146133
work_keys_str_mv AT lewisrobert canarecommendersystemsupporttreatmentpersonalisationindigitalmentalhealththerapyaquantitativefeasibilityassessmentusingdatafromabehaviouralactivationtherapyapp
AT fergusoncraig canarecommendersystemsupporttreatmentpersonalisationindigitalmentalhealththerapyaquantitativefeasibilityassessmentusingdatafromabehaviouralactivationtherapyapp
AT wilkschelsey canarecommendersystemsupporttreatmentpersonalisationindigitalmentalhealththerapyaquantitativefeasibilityassessmentusingdatafromabehaviouralactivationtherapyapp
AT jonesnoah canarecommendersystemsupporttreatmentpersonalisationindigitalmentalhealththerapyaquantitativefeasibilityassessmentusingdatafromabehaviouralactivationtherapyapp
AT picardrosalindw canarecommendersystemsupporttreatmentpersonalisationindigitalmentalhealththerapyaquantitativefeasibilityassessmentusingdatafromabehaviouralactivationtherapyapp