{"id":646191,"date":"2020-03-26T12:02:00","date_gmt":"2020-03-26T19:02:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=646191"},"modified":"2020-06-23T11:16:00","modified_gmt":"2020-06-23T18:16:00","slug":"towards-using-ai-to-augment-human-support-in-digital-mental-healthcare","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/towards-using-ai-to-augment-human-support-in-digital-mental-healthcare\/","title":{"rendered":"Towards Using AI to Augment Human Support in Digital Mental Healthcare"},"content":{"rendered":"

To address the need for more access to, and increase the effectiveness of, mental health treatment, internet-delivered psychotherapy programs such as iCBT are shown to achieve clinical outcomes comparable to face-to-face therapy. While offering ubiquitous access to healthcare, a key concern of digital therapy programs is to sustain users\u2019 engagement with the treatment to attain desired benefits. Research has demonstrated that including a trained \u2018human supporter\u2019 to the digital mental health ecosystem can provide useful guidance and motivation to its users, and lead to more effective outcomes than unsupported interventions. Within this context, we describe early research that makes use of machine learning (ML) approaches to better understand how the behaviors of these human supporters may benefit the mental health outcomes of clients; and how such effects could be maximized. We discuss new opportunities for augmenting human support through personalization, and the related ethical challenges.<\/p>\n","protected":false},"excerpt":{"rendered":"

To address the need for more access to, and increase the effectiveness of, mental health treatment, internet-delivered psychotherapy programs such as iCBT are shown to achieve clinical outcomes comparable to face-to-face therapy. While offering ubiquitous access to healthcare, a key concern of digital therapy programs is to sustain users\u2019 engagement with the treatment to attain […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13554],"msr-publication-type":[193726],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-646191","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-human-computer-interaction","msr-locale-en_us"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2020-4-26","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"CHI 2020 workshop paper - Technology Ecosystems: Rethinking Resources for Mental Health","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2020\/03\/AIforsupporters.pdf","id":"646194","title":"aiforsupporters","label_id":"243109","label":0}],"msr_related_uploader":[{"type":"url","viewUrl":"false","id":"false","title":"https:\/\/mhtechecosystems.wordpress.com\/","label_id":"243118","label":0}],"msr_attachments":[{"id":646194,"url":"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2020\/03\/AIforsupporters.pdf"}],"msr-author-ordering":[{"type":"text","value":"Prerna Chikersal","user_id":0,"rest_url":false},{"type":"text","value":"Gavin Doherty","user_id":0,"rest_url":false},{"type":"user_nicename","value":"Anja Thieme","user_id":35948,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Anja Thieme"}],"msr_impact_theme":[],"msr_research_lab":[199561],"msr_event":[],"msr_group":[371909,646851],"msr_project":[609993],"publication":[],"video":[],"download":[],"msr_publication_type":"unpublished","related_content":{"projects":[{"ID":609993,"post_title":"Project Talia - AI for Improved Mental Health","post_name":"project-talia","post_type":"msr-project","post_date":"2019-10-02 02:30:03","post_modified":"2024-02-28 09:10:27","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/project-talia\/","post_excerpt":"In this project, we are partnering with SilverCloud Health, the leading digital therapeutics platform for mental and behavioral health. This partnership aims to jointly explore how AI can be used to enhance SilverCloud Health\u2019s digital mental health services that deliver cognitive-behavioral treatment (CBT) programs to a large and growing number of people in need of effective care. Using probabilistic machine learning frameworks, the aim is to identify new route for personalizing treatments and improving patient…","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/609993"}]}}]},"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-item\/646191"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-item"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-research-item"}],"version-history":[{"count":1,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-item\/646191\/revisions"}],"predecessor-version":[{"id":646197,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-item\/646191\/revisions\/646197"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=646191"}],"wp:term":[{"taxonomy":"msr-content-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-content-type?post=646191"},{"taxonomy":"msr-research-highlight","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-highlight?post=646191"},{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=646191"},{"taxonomy":"msr-publication-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-publication-type?post=646191"},{"taxonomy":"msr-product-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-product-type?post=646191"},{"taxonomy":"msr-focus-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-focus-area?post=646191"},{"taxonomy":"msr-platform","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-platform?post=646191"},{"taxonomy":"msr-download-source","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-download-source?post=646191"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=646191"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=646191"},{"taxonomy":"msr-field-of-study","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-field-of-study?post=646191"},{"taxonomy":"msr-conference","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-conference?post=646191"},{"taxonomy":"msr-journal","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-journal?post=646191"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=646191"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=646191"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}