Carlos Felipe Rivera-Cepeda, Daniella Vaclavik, Daniel M Bagner, Antonio Y Hardan, E L Bunge
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引用次数: 0
Abstract
Background: Access to behavioral parenting interventions remains limited due to barriers such as cost, time constraints, and transportation, emphasizing the need for more accessible and reliable means to support caregivers of children with behavioral problems.
Objective: Assess the feasibility of a Generative Artificial Intelligence (GAI) platform (ParenteAI.V1) to facilitate and enhance the delivery of Parent Management Training (PMT).
Method: Participants were 22 caregivers of children ages 6-12 years seeking services for disruptive behaviors. The intervention consisted of 8 modules of Parent Management Training (PMT) on the ParenteAI platform through a conversational agent, Pat. A psychology student facilitated the delivery of 4 of the modules during 4 live sessions, where they guided caregivers through the platform and their interactions with Pat. The remaining 4 PMT modules were completed independently by caregivers between the live sessions where they interacted with Pat alone.
Results: Seventeen participants completed the study protocol. Caregivers reported high satisfaction with the intervention, likelihood of recommending it, and a strong therapeutic alliance with Pat. Caregivers exchanged a high number of messages with Pat and completed most PMT modules. There were significant pre- to post-intervention decreases in child externalizing (p < .001, d = 1.00) and internalizing (p = .019, d = 0.63) symptoms, as well as significant decreases in caregiver depression (p = .005, r = 0.68), anxiety (p = .002, r = 0.79), and stress (p = .008, d = 0.74).
Conclusions: Overall, caregiver feasibility, utility, and satisfaction were high. Caregivers reported significant improvements in their children's behavior and in their own mental health. These findings highlight the feasibility, usability, and potential scalability of combining therapists with AI for addressing barriers to traditional parenting programs.
背景：由于成本、时间限制和交通等障碍，行为父母干预措施的可及性仍然有限，这强调需要更容易获得和可靠的手段来支持有行为问题儿童的照料者。目的：评估生成式人工智能（GAI）平台（ParenteAI.V1）促进和加强家长管理培训（PMT）交付的可行性。方法：参与者为22名6-12岁儿童的照顾者，他们因破坏性行为寻求服务。干预包括家长管理培训（PMT）的8个模块，通过对话代理Pat在ParenteAI平台上进行。一名心理学专业的学生在4个现场环节中为4个模块的交付提供了便利，他们指导护理人员通过平台以及他们与Pat的互动。其余4个PMT模块由护理人员在与Pat单独互动的现场会话之间独立完成。结果：17名参与者完成了研究方案。护理人员报告了对干预的高满意度，推荐它的可能性，以及与Pat的强大治疗联盟。护理人员与Pat交换了大量消息，并完成了大多数PMT模块。干预前和干预后，儿童外化（p d = 1.00）和内化（p = 1.00）显著降低。019, d = 0.63)的症状，以及照顾者抑郁的显著减少（p = 0.63）。005, r = 0.68)，焦虑(p =。002, r = 0.79)，压力（p = 0.79）。008, d = 0.74)。结论：总体而言，护理人员的可行性、效用和满意度较高。照顾者报告说，他们孩子的行为和他们自己的心理健康都有了显著改善。这些发现强调了将治疗师与人工智能结合起来解决传统育儿计划障碍的可行性、可用性和潜在的可扩展性。
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