TY - GEN
T1 - Conversational agents to provide couple therapy for patients with ptsd
AU - Motalebi, Nasim
AU - Abdullah, Saeed
N1 - Publisher Copyright:
© 2018 Association for Computing Machinery.
PY - 2018
Y1 - 2018
N2 - Conversational agents (CAs) like Amazon Alexa can potentially enable a new way to deliver therapy to patients with serious mental illnesses. Specifically, they can be used to provide support for real-time family therapy and interventions in a scalable way. However, this requires significant changes in traditional therapeutic content since interaction with CAs is fundamentally different than reading or using eHealth applications. In this work, we aim to identify challenges in adapting a clinically validated therapy for Post-Traumatic Stress Disorder (PTSD) to conversational agents. Specifically, we describe our initial design and development process to use Amazon Alexa to deliver Cognitive-Behavioral Conjoint Therapy (CBCT) for PTSD. Our initial design process resulted in an interaction model that emphasizes short dialogues and interactivity. This design process and interaction model can potentially be useful for future studies focusing on using conversational agents for therapeutic content delivery.
AB - Conversational agents (CAs) like Amazon Alexa can potentially enable a new way to deliver therapy to patients with serious mental illnesses. Specifically, they can be used to provide support for real-time family therapy and interventions in a scalable way. However, this requires significant changes in traditional therapeutic content since interaction with CAs is fundamentally different than reading or using eHealth applications. In this work, we aim to identify challenges in adapting a clinically validated therapy for Post-Traumatic Stress Disorder (PTSD) to conversational agents. Specifically, we describe our initial design and development process to use Amazon Alexa to deliver Cognitive-Behavioral Conjoint Therapy (CBCT) for PTSD. Our initial design process resulted in an interaction model that emphasizes short dialogues and interactivity. This design process and interaction model can potentially be useful for future studies focusing on using conversational agents for therapeutic content delivery.
UR - http://www.scopus.com/inward/record.url?scp=85116316019&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85116316019&partnerID=8YFLogxK
U2 - 10.1145/3240925.3240933
DO - 10.1145/3240925.3240933
M3 - Conference contribution
AN - SCOPUS:85116316019
SN - 9781450364508
T3 - PervasiveHealth: Pervasive Computing Technologies for Healthcare
BT - Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2018
A2 - Minsky, Noga
A2 - Osmani, Venet
PB - Association for Computing Machinery
T2 - 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2018
Y2 - 21 May 2018 through 24 May 2018
ER -