The Digital Therapeutic Alliance and Human-Computer Interaction

The therapeutic alliance (TA), the relationship that develops between a therapist and a client/patient, is a critical factor in the outcome of psychological therapy. As mental health care is increasingly adopting digital technologies and offering therapeutic interventions that may not inv...

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Main Authors: D'Alfonso, Simon, Lederman, Reeva, Bucci, Sandra, Berry, Katherine
Format: Article
Language:English
Published: JMIR Publications 2020-12-01
Series:JMIR Mental Health
Online Access:http://mental.jmir.org/2020/12/e21895/
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spelling doaj-b7d072d4614c4262868286f26428bbba2021-05-03T01:42:56ZengJMIR PublicationsJMIR Mental Health2368-79592020-12-01712e2189510.2196/21895The Digital Therapeutic Alliance and Human-Computer InteractionD'Alfonso, SimonLederman, ReevaBucci, SandraBerry, Katherine The therapeutic alliance (TA), the relationship that develops between a therapist and a client/patient, is a critical factor in the outcome of psychological therapy. As mental health care is increasingly adopting digital technologies and offering therapeutic interventions that may not involve human therapists, the notion of a TA in digital mental health care requires exploration. To date, there has been some incipient work on developing measures to assess the conceptualization of a digital TA for mental health apps. However, the few measures that have been proposed have more or less been derivatives of measures from psychology used to assess the TA in traditional face-to-face therapy. This conceptual paper explores one such instrument that has been proposed in the literature, the Mobile Agnew Relationship Measure, and examines it through a human-computer interaction (HCI) lens. Through this process, we show how theories from HCI can play a role in shaping or generating a more suitable, purpose-built measure of the digital therapeutic alliance (DTA), and we contribute suggestions on how HCI methods and knowledge can be used to foster the DTA in mental health apps.http://mental.jmir.org/2020/12/e21895/
collection DOAJ
language English
format Article
sources DOAJ
author D'Alfonso, Simon
Lederman, Reeva
Bucci, Sandra
Berry, Katherine
spellingShingle D'Alfonso, Simon
Lederman, Reeva
Bucci, Sandra
Berry, Katherine
The Digital Therapeutic Alliance and Human-Computer Interaction
JMIR Mental Health
author_facet D'Alfonso, Simon
Lederman, Reeva
Bucci, Sandra
Berry, Katherine
author_sort D'Alfonso, Simon
title The Digital Therapeutic Alliance and Human-Computer Interaction
title_short The Digital Therapeutic Alliance and Human-Computer Interaction
title_full The Digital Therapeutic Alliance and Human-Computer Interaction
title_fullStr The Digital Therapeutic Alliance and Human-Computer Interaction
title_full_unstemmed The Digital Therapeutic Alliance and Human-Computer Interaction
title_sort digital therapeutic alliance and human-computer interaction
publisher JMIR Publications
series JMIR Mental Health
issn 2368-7959
publishDate 2020-12-01
description The therapeutic alliance (TA), the relationship that develops between a therapist and a client/patient, is a critical factor in the outcome of psychological therapy. As mental health care is increasingly adopting digital technologies and offering therapeutic interventions that may not involve human therapists, the notion of a TA in digital mental health care requires exploration. To date, there has been some incipient work on developing measures to assess the conceptualization of a digital TA for mental health apps. However, the few measures that have been proposed have more or less been derivatives of measures from psychology used to assess the TA in traditional face-to-face therapy. This conceptual paper explores one such instrument that has been proposed in the literature, the Mobile Agnew Relationship Measure, and examines it through a human-computer interaction (HCI) lens. Through this process, we show how theories from HCI can play a role in shaping or generating a more suitable, purpose-built measure of the digital therapeutic alliance (DTA), and we contribute suggestions on how HCI methods and knowledge can be used to foster the DTA in mental health apps.
url http://mental.jmir.org/2020/12/e21895/
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