Crowdsourcing mental health and emotional well-being

Thesis: Ph. D., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2015.

Bibliographic Details
Main Author: Morris, Robert (Robert Randall)
Other Authors: Rosalind W. Picard.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2015
Subjects:
Online Access:http://hdl.handle.net/1721.1/97972
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spelling mit-1721.1/979722022-01-18T16:27:37Z Crowdsourcing mental health and emotional well-being Morris, Robert (Robert Randall) Rosalind W. Picard. Massachusetts Institute of Technology. Department of Architecture. Program in Media Arts and Sciences. Program in Media Arts and Sciences (Massachusetts Institute of Technology) Architecture. Program in Media Arts and Sciences. Thesis: Ph. D., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2015. Cataloged from PDF version of thesis. Includes bibliographical references (pages 158-170). More than 30 million adults in the United States suffer from depression. Many more meet the diagnostic criteria for an anxiety disorder. Psychotherapies like cognitive-behavioral therapy can be effective for conditions such as anxiety and depression, but the demand for these treatments exceeds the resources available. To reach the widest possible audience, mental health interventions need to be inexpensive, anonymous, always available, and, ideally, delivered in a way that delights and engages the user. Towards this end, I present Panoply, an online intervention that administers emotion- regulatory support anytime, anywhere. In lieu of direct clinician oversight, Panoply coordinates support from crowd workers and unpaid volunteers, all of whom are trained on demand, as needed. Panoply incorporates recent advances in crowdsourcing and human computation to ensure that feedback is timely and vetted for quality. The therapeutic approach behind this system is inspired by research from the fields of emotion regulation, cognitive neuroscience, and clinical psychology, and hinges primarily on the concept of cognitive reappraisal. Crowds are recruited to help users think more flexibly and objectively about stressful events. A three-week randomized controlled trial with 166 participants compared Panoply to an active control task (online expressive writing). Panoply conferred greater or equal benefits for nearly every therapeutic outcome measure. Statistically significant differences between the treatment and control groups were strongest when baseline depression and reappraisal scores were factored into the analyses. Panoply also significantly outperformed the control task on all measures of engagement (with large effect sizes observed for both behavioral and self-report measures). This dissertation offers a novel approach to computer-based psychotherapy, one that is optimized for accessibility, engagement and therapeutic efficacy. by Robert R. Morris. Ph. D. 2015-07-31T19:09:44Z 2015-07-31T19:09:44Z 2015 2015 Thesis http://hdl.handle.net/1721.1/97972 913963520 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 170 pages application/pdf Massachusetts Institute of Technology
spellingShingle Architecture. Program in Media Arts and Sciences.
Morris, Robert (Robert Randall)
Crowdsourcing mental health and emotional well-being
title Crowdsourcing mental health and emotional well-being
title_full Crowdsourcing mental health and emotional well-being
title_fullStr Crowdsourcing mental health and emotional well-being
title_full_unstemmed Crowdsourcing mental health and emotional well-being
title_short Crowdsourcing mental health and emotional well-being
title_sort crowdsourcing mental health and emotional well being
topic Architecture. Program in Media Arts and Sciences.
url http://hdl.handle.net/1721.1/97972
work_keys_str_mv AT morrisrobertrobertrandall crowdsourcingmentalhealthandemotionalwellbeing