机器人能做治疗吗?研究 CBT 机器人与其他行为干预技术在减轻心理健康症状方面的功效比较

Laura Eltahawy , Todd Essig , Nils Myszkowski , Leora Trub
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摘要

人工智能治疗机器人正在心理治疗市场上获得越来越多的关注。然而,现有的唯一一项关于治疗机器人疗效的研究在宣称其治疗抑郁症的有效性时,缺乏任何有意义的对照。目前的研究旨在检验 Woebot 在三种对照条件下的疗效,包括 ELIZA(一种基本的(非 "智能")对话机器人)、一款日记应用程序和一个被动心理教育对照组。在 65 位年轻人的样本中,重复测量方差分析未能发现主动组和被动组在症状减轻方面的差异。在使用配对样本 t 检验进行的后续分析中,ELIZA 用户在所有心理健康结果中的心理健康改善效果最大,其次是每日日记,然后是 Woebot,最后是心理教育。研究结果表明,Woebot 并没有提供超越其他自助行为干预技术的益处。他们强调,使用无治疗对照组的研究设计来推销临床服务不应再被接受,也不应作为推销聊天机器人的可接受的前奏,将其视为功能等同于心理治疗。这样做会给心理疗法的消费者带来不必要的风险,并损害机器人疗法的临床价值,而通过严格的研究,这些疗法可能被证明能有效解决心理健康问题。
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Can robots do therapy?: Examining the efficacy of a CBT bot in comparison with other behavioral intervention technologies in alleviating mental health symptoms

Artificial intelligence therapy bots are gaining traction in the psychotherapy marketplace. Yet, the only existing study examining the efficacy of a therapy bot lacks any meaningful controls for comparison in claiming its effectiveness to treat depression. The current study aims to examine the efficacy of Woebot against three control conditions, including ELIZA, a basic (non-“smart”) conversational bot, a journaling app, and a passive psychoeducation control group. In a sample of 65 young adults, a repeated measures ANOVA failed to detect differences in symptom reduction between active and passive groups. In follow-up analyses using paired samples t-tests, ELIZA users experienced mental health improvements with the largest effect sizes across all mental health outcomes, followed by daily journaling, then Woebot, and finally psychoeducation. Findings reveal that Woebot does not offer benefit above and beyond other self-help behavioral intervention technologies. They underscore that using a no-treatment control group study design to market clinical services should no longer be acceptable nor serve as an acceptable precursor to marketing a chatbot as functionally equivalent to psychotherapy. Doing so creates unnecessary risk for consumers of psychotherapy and undermines the clinical value of robotic therapeutics that could prove effective at addressing mental health problems through rigorous research.

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