Artificial Intelligence-Assisted Online Social Therapy for Youth Mental Health

Frontiers in Psychology

Simon D'Alfonso¹ 

关键词: youth mental health;    psychosis;    depression;    computational health;    chatbots;    sentiment analysis;   

DOI  :  10.3389/fpsyg.2017.00796

学科分类：心理学（综合）

来源: Frontiers

【 摘 要 】

Introduction: Benefits from mental health early interventions may not be sustained over time, and longer-term intervention programs may be required to maintain early clinical gains. However, due to the high intensity of face-to-face early intervention treatments, this may not be feasible. Adjunctive internet-based interventions specifically designed for youth may provide a cost-effective and engaging alternative to prevent loss of intervention benefits. However, until now online interventions have relied on human moderators to deliver therapeutic content. More sophisticated models responsive to user data are critical to inform tailored online therapy. Thus, integration of user experience with a sophisticated and cutting-edge technology to deliver content is necessary to redefine online interventions in youth mental health. This paper discusses the development of the moderated online social therapy (MOST) web application, which provides an interactive social media-based platform for recovery in mental health. We provide an overview of the system's main features and discus our current work regarding the incorporation of advanced computational and artificial intelligence methods to enhance user engagement and improve the discovery and delivery of therapy content.

【 授权许可】

CC BY